Monday, January 27, 2020
Framework for Speech Enhancement and Recognition
Framework for Speech Enhancement and Recognition A Generalized Framework for Speech Enhancement and Recognition with Special Focus On Patients with Speech Disorders Literature Review Kumara Sharma et.al. have proposed Harmonics-to-Noise Ratio and Critical-Band Energy Spectrum of speech as Acoustic Indicators of Laryngeal and Voice Pathology [8]. Acoustic analysis of speech signals is a noninvasive technique that has been proved to be an effective tool for the objective support of vocal and voice disease screening. In the present study acoustic analysis of sustained vowels is considered. A simple k-means nearest neighbor classifier is designed to test the efficacy of a harmonics-to-noise ratio (HNR) measure and the critical-band energy spectrum of the voiced speech signal as tools for the detection of laryngeal pathologies [12]. It groups the given voice signal sample into pathologic and normal. The voiced speech signal is decomposed into harmonic and noise components using an iterative signal extrapolation algorithm. The HNRs at four different frequency bands are estimated and used as features. Voiced speech is also filtered with 21 critical-band pass filters tha t mimic the human auditory neurons. Normalized energies of these filter outputs are used as another set of features. The HNR and the critical-band energy spectrum can be used to correlate laryngeal pathology and voice alteration, using previously classified voice samples. This method could be an additional acoustic indicator that supplements the clinical diagnostic features for voice evaluation [42]. Cepstral-based estimation is used to provide a baseline estimate of the noise level in the logarithmic spectrum for voiced speech. A theoretical description of Cepstral processing of voiced speech containing aspiration noise, together with supporting empirical data, is provided in order to illustrate the nature of the noise baseline estimation process. Taking the Fourier transform of the liftered (filtered in the Cepstral domain) cepstrum produces a noise baseline estimate. It is shown that Fourier transforming the low-pass liftered cepstrum is comparable to applying a moving average (MA) filter to the logarithmic spectrum and hence the baseline receives contributions from the glottal source excited vocal tract and the noise excited vocal tract[43]. Because the estimation process resembles the action of a MA filter, the resulting noise baseline is determined by the harmonic resolution as determined by the temporal analysis window length and the glottal source spectral tilt. On select ing an appropriate temporal analysis window length the estimated baseline is shown to lie halfway between the glottal excited vocal tract and the noise excited vocal tract. This information is employed in a new harmonics-to-noise (HNR) estimation technique, which is shown to provide accurate HNR estimates when tested on synthetically generated voice signals. HNR is defined as the ratio between the energy of the periodic component to the energy of the aperiodic component in the signal. As such it is sensitive to all forms of waveform aperiodicity [8],[12]. It only specifically reflects a signal to aspiration noise ratio when other aperiodicities in the signal are comparatively low. Validation of a HNR method requires testing the technique against synthesis data with a priori knowledge of the HNR. Time-domain methods that require individual period detection for HNR estimation can be problematic because of the difficulty in estimating the period markers for pathological voiced speech. Frequency domain methods encounter the problem of estimating noise at harmonic locations .Cepstral techniques have been introduced to supply noise estimates at all frequency locations in the spectrum (the Cepstral processing removes the harmonics from the spectrum).It is shown that the cepstrum-based noise baseline estimation process is comparable to applying a moving average MA filter to the power spectrum and hence the baseline receives contributions from the glottal source excited vocal tract and the noise excited vocal tract. Two important issues need to be considered with respect to HNR estimation for sustained vowel phonation when inferring glottal noise levels: HNR is a global indicator of voice periodicity.HNR is indirectly related to the noise level of the glottal source .HNR provides a g lobal estimate of signal periodicity. Hence a low value of HNR can arise from any form of aperiodicity, for example, from aspiration noise, jitter, shimmer, nonstationarity of the vocal tract, or other waveform anomalies [43]. Daryush Mehta has discussed about Aspiration Noise during Phonation: Synthesis, Analysis, and Pitch-Scale Modification. The current study investigates the synthesis and analysis of aspiration noise in synthesized and spoken vowels. Based on the linear source-filter model of speech production, author has implemented a vowel synthesizer in which the aspiration noise source is temporally modulated by the periodic source waveform. Modulations in the noise source waveform and their synchronism with the periodic source are shown to be salient for natural-sounding vowel synthesis. The accurate estimation of the aspiration noise component that contains energy across the frequency spectrum and temporal characteristics due to modulations in the noise source was a challenging task for the author. Spectral harmonic/noise component analysis of spoken vowels shows evidence of noise modulations with peaks in the estimated noise source component synchronous with both the open phase of the periodic s ource and with time instants of glottal closure [39]. Due to natural modulations in the aspiration noise source, author has developed an alternate approach to the speech signal processing with the aim of accurate pitch-scale modification. The proposed strategy takes a dual processing approach, in which the periodic and noise components of the speech signal are separately analyzed, modified, and re-synthesized. The periodic component is modified using our implementation of time-domain pitch-synchronous overlap-add, and the noise component is handled by modifying characteristics of its source waveform. Author has modeled an inherent coupling between the original periodic and aspiration noise sources; the modification algorithm is designed to preserve the synchronism between temporal modulations of the two sources [44]. The reconstructed modified signal is perceived to be natural-sounding and generally reduces artifacts. Arpit Mathur et.al. have discussed about the significance of parametric spectral ratio methods in detection and recognit ion of whispered speech [45]. Other References Kaladhar developed confusion matrix which is a matrix for a two-class classifier, contains information about actual and predicted classifications done by a classification system. The accuracy obtained by training the probabilistic neural network using Parkinson disease dataset got 100% as positives, predictions that an instance is positive, using WEKA 3 and Matlab v7. The data explored in this research was obtained from the Oxford Parkinsons Disease Detection Dataset. Data mining is the process of extracting patterns from data. Data mining is an important tool to transform this data into information. Authors present results with accuracy obtained by training the probabilistic neural network using the above dataset [46]. Xiao Li et.al. proposed a technique to reduce the likelihood computation in ASR systems that use continuous density HMMs. Based on the nature of dynamic features and the numerical properties of Gaussian mixture distributions, the observation likelihood computation is approximated to achieve a speedup. Although the technique does not show appreciable benefit in an isolated word task, it yields significant improvements in continuous speech recognition. For example, 50% of the computation can be saved on the TIMIT database with only a negligible degradation in system performance [47]. Authors analyze the case with only static features and their deltas and focus on achieving computational saving by partially computing the observation probability in a Gaussian component. It ignores computing the dynamic-feature part of an observation vector when its static-feature part already falls in the tail of a Gaussian. This technique doesnt require a complicated training procedure and brings almost no overhead to the decoding process. It is effective on both isolated word and connected word speech tasks, but works especially well on connected word recognition with high-dimensional dynamic features [47]. Elisabeth Ahlsà ©n has discussed different types of communication disorders. In case of Global aphasia there is nil or almost no linguistic communication. In case of Brocaââ¬â¢s aphasia there is slow, effortful speech, telegram style, word finding problems known as anomia, relatively good comprehension. In case of Wernickeââ¬â¢s aphasia there is fluent verbose speech, w ord finding difficulties known as anomia, substitutions of words and sounds, impaired comprehension. In case of Anomic aphasia there are only word finding problems [49]. Kristen Jacobson explains about auditory and language processing disorders as follows. There are three general levels that speech sounds travel through while we are ââ¬Å"listeningâ⬠. The first level refers to the reception of sounds that occurs within our ears. A person who is diagnosed with a hearing impairment has difficulties perceiving sounds at this level. This problem is not referred to as a processing disorder. Central auditory processing disorders (CAPD) refer to difficulties discriminating, identifying and retaining sounds after the ears have heard the sounds. Individuals who experience difficulties attaching meaning to sound groups that form words, sentences and stories are often diagnosed with language processing disorders. They may also experience similar difficulties processing and organizing language for meaning during reading. Similar sounding words are often confused and some individuals may experience sensitivity to specific sounds. Reduced recognition of stre ss patterns and word boundaries within sentences is often present, especially during rapid speech or listening without visual cues. At times, only parts of messages are received accurately, so that messages and directions often appear incomplete. Specific language processing deficits are often reflected in delayed responses, the need to rehearse statements, and/or the need for frequent reviews while learning new information [50]. There are various types of speech disorders in children described as follows. Articulation: There is difficulty in the production of individual or sequenced sounds. The speakers exhibit substitutions, omissions, additions, and distortions of syllables or words. The Motor or Neurogenic speech disorders result into speech difficulties and affect the planning, coordination, timing, and execution of speech movements. Apraxia of speech is neurogenic motor speech disorder affecting the planning of speech. There is difficulty with the voluntary, purposeful movement of speech .The causes are stroke, tumor, head injury, and developmental disorders. The speakers can produce individual sounds but cannot produce them in longer words or sentences. Voice disorders affect pitch, duration, intensity, resonance, and vocal quality parameters. Fluency disorders produce interruptions in the flow of speaking. It is also known as stuttering. It means frequent repetition and/or prolongation of words or sounds [51]. Treatment of children with Speech Oral Placement Disorders (OPD)s needs various types of speech oral placement therapy (OPT) .Children with speech OPDs may have typical or a typical oral structures. The key to the definition of OPD lies in the childââ¬â¢s ability or inability to imitate auditory-visual stimuli and follow verbal oral placement instructions. Children with OPD cannot imitate targeted speech sounds using auditory and visual stimuli .They also cannot follow specific instructions to produce targeted speech sounds [52]. Thomas Dubuisson et.al. described an analysis system aiming at discriminating between normal and pathological voices. Based on the normal and pathological samples included the MEEI database, it has been found that using two features (spectral decrease and first spectral tristimuli in the Bark scale). Music Information Retrieval (MIR) aims at extracting information from music in order to build classification system of music. Temporal Domain features are Energy, mean, standard deviation. Spectral features are spectral Delta, Spectral Mean Value, Spectral Standard Deviation, Spectral Center of Gravity known as spectral centroid, Spectral Moments. The first four moments of the power spectrum M1, M2, M3, M4 . M3 is used to compute the skewness defining the orientation of the PSD around its first moment. If it is positive, the PSD is more oriented to the right and to the left if is negative. The skewness is computed as Skewness = M3/(M2)3/2 . The fourth moment is used to compute the kurtos is defining the acuity of the PSD around its first moment. A Gaussian distribution is having a kurtosis equal to 3, a distribution with a higher kurtosis is more acute than a Gaussian one while a distribution with a lower kurtosis is more flat than a Gaussian distribution. The kurtosis is computed as Kurtosis = M4/(M2)2. The Soft Phonation Index is defined for the (0ââ¬â1000 Hz) and (0ââ¬â8000 Hz) frequency bands [54]. Behnaz Ghoraani et.al. proposed a novel methodology for automatic pattern classification of pathological voices. The main contribution of this paper is extraction of meaningful and unique features using Adaptive time-frequency distribution (TFD) and nonnegative matrix factorization (NMF). The proposed method extracts meaningful and unique features from the joint TFD of the speech, and automatically identifies and measures the abnormality of the signal. The proposed method is applied on the Massachusetts Eye and Ear Infirmary (MEEI) voice disorders database. As a matter of fact from the TFD of abnormal speech it is evident that there are more transients in the abnormal signals, and the formants in pathological speech are more spread and are less structured [55]. Corinne Fredouille et.al. have addressed voice disorder assessment. The goal of this methodology is to bring a better understanding of acoustic phenomena related to dysphonia. The automatic system was validated on dysphonic corpus (80) female voices. These observations led to a manual analysis of unvoiced plosives, which highlighted a lengthening of VOT according to the dysphonia severity validated by a preliminary statistical analysis. The feature vectors issued from this analysis, at a 10 millisecond rate, are finally normalized to fit a 0-mean and 1-variance distribution. The LFSC/MFSC computation is done by using the (GPL) SPRO toolkit. Finally, the feature vectors can be augmented by adding dynamic information representing the way these vectors vary in time. Here, first and second derivatives of static coefficients are considered (also named Ãâ and ÃâÃâ coefficients) resulting in 72 coefficients [56]. Younggwan Kim et.al. discussed the role of the statistical model-based voice activity detector (SMVAD) to detect speech regions from input signals using the statistical models of noise and noisy speech. The LRT-based decision rule may cause detection errors because of statistical properties of noise and speech signals[57]. Wiqas Ghai et.al. described automatic speech recognition system as comprised of modules Speech Signal acquisition ,Feature extraction, using MFCC is done . Acoustic Modeling is done for expected phonetics of the hypothesis word/sentence. For generating mapping between the basic speech units such as phones, tri-phones syllables, a rigorous training is carried. During training, a pattern representative for the features of a class using one or more patterns corresponding to speech sounds of the same class. Language Lexical Modeling is done with the help of Text Corpus, Pronunciation Dictionary and Language Model [59]. Lucas Leon Oller presents analysis of voice signals for the Harmonics-to-Noise crossover frequency .The harmonics-to-noise ratio (HNR) has been used to assess the behavior of the vocal fold closure. The objective is to find a particular harmonics-to-noise crossover frequency (HNF) where the harmonic components of the voice drop below the noise floor, and use it as an indicator of the vocal fold insufficiency. . As the range used for the calculation of the cepstrum approaches the lowest octaves, the growth of the rahmonics should accelerate at some point, the range is going to contain harmonics that are above the noise floor level, and then the energy of the rahmonics will start to faster. That point would be the harmonics-to-noise crossover frequency [60]. Daryl Ning has developed an Isolated Word Recognition System in MATLAB. A robust speech-recognition system combines accuracy of identification with the ability to filter out noise and adapt to other acoustic conditions, such as the speakerââ¬â¢s speech rate and accent. It requires detailed knowledge of signal processing and statistical modeling [61]. Phonetic Concepts Daniel Jurafsky et.al. presented a case study of Star trek where robots converse with humans in natural Dialogue system with language conversational agents. Various components that make up modern conversational agents, including language input and language output dialogue ,automatic speech recognition, natural language understanding ,response planning , speech synthesis systems and the goal of machine translation which leads to automatic translation of a document from one language to another is explained here [62]. Steven Pruett describes speech as the motor act of communicating by articulating verbal expression and Language as the knowledge of a symbol system used for interpersonal communication. Mary Planchart has explained four domains of language namely Phonology, Grammar , Morphology ,Syntax , and Pragmatics [63], [64]. Eric J. Hunter has presented a case study of a 5 year old healthy male child. He has analyzed comparison of the childââ¬â¢s fundamental frequencies in structured elicited vocalizations versus unstructured natural vocalizations. The child also wore a National Center for Voice and Speech voice dosimeter, a device that collects voice data over the course of an entire day, during all activities for 34 hours over 4 days. It was observed that the childââ¬â¢s long-term F0 distribution is not normal. If this distribution is consistent in long-term, unstructured natural vocalization patterns of children, statistical mean would not be a valid measure. Author has suggested mode and median as two parameters which convey more accurate information about typical F0 usage [65].
Sunday, January 19, 2020
Some People Think That Convention in Our Society Obstruct
Chosen topic: Some people think that convention in our society obstruct progress while others think that taboos help maintain social harmony. Choose one position and support it with evidence and examples. As a result of globalization, the world is getting smaller and smaller. Some people have even said that the world has become a ââ¬ËGlobal Villageââ¬â¢. With the integration of people coming from different financial, ethnic and social background, there are conflicts between interest groups.For example, the huge income disparity, large amount of new immigrants and the different point of views towards social issues may lead to a less harmious society. Apart from these, convention in a society may also be one of the factors affecting social harmony. ââ¬Å"Socialà harmony is a more complexà socialà psychological phenomenon which is determined by the interactions amongà socialà values, people, and society. People achieveà socialà harmonyà when they feel their values and desires are attainable in society. ââ¬Å"(Ai Han, 2008, Building a Harmonious Society and Achieving Individual Harmony, para 1)Traditions might lead to unfairness to the public. Take Hong Kong as an example, Hong Kong is a superstitious city and people care a lot about taboos and traditional practices. The pronunciation of the number, four, in Cantonese is similar to the pronunciation of death in Cantonese. Therefore Hong Kong people avoid saying ââ¬Ëfourââ¬â¢ in happy or critical occasions. There is also a tradition of omitting certain (4th, 14th and 24th etc. ) levels in building in Hong Kong. At the same time, the pronunciation of ââ¬Ëeightââ¬â¢ is similar to the word of getting rich in Chinese. Many luxury buildings were built in Hong Kong in recent years.Property agencies make use of Chineseââ¬â¢s mindsets to increase revenue. We can easily find that the 8th floor, the 18th or the 28th floor are always being sold at a more expensive price. This phenomenon h as aroused public resentment. The general public believes that price should not only be determined by the number of floors but also many other impacts that many property agencies did not take into account. Such kinds of arguments do not only happen in Hong Kong but globally. From Asian to Western countries, there are always conflicts between conventions and the new enlightenment.The progress of might be hindered if we cannot balance the interests of different stakeholders in an issue. Homosexuality was said to be a taboo. However, as reported by Bohan (1996), in reality, homosexual individuals wish to enjoy freedom of love and belong to social groups that support them. In aspects of religion, a number of religions (e. g. Christianity and Catholic) said that homosexuality was not acceptable because it violated the original meaning of Godââ¬â¢s creations. In traditional Asiansââ¬â¢ eyes, they might even think homosexuality is an insult to their family and reputations.This topic is a shock for many of the older people in society or followers of religions. Both parties stand strong and do not appear to accept each otherââ¬â¢s points of view. It is a topic that society had to deal with before achieving social harmony. Tragedies might occur when the convention clashes with the law or the value of society at that time. Chinese believe that having at least a son is essential for a family to continue their family lineage and to glorify their family. In Chinese history, people thought families that have no children or have daughters only was disrespectful to their ancestors.Since 1978, the Chinese Government has implemented the one-child-policy to control the soaring birth rate in China. Such kind of unfair law made many Chinese eager to have a male child directly. Barrett & Li (1999) pointed out that the problem of female infanticide and sex-selective abortion became more common after One Child Policy was established. When they found that their child was a fem ale, some of them may even abandon them, resulting in the increasing number of tragedies. At the same time, it has caused moral problem. Conventions sometimes hinder the balance of society and limit the development of society.Bengtson, Biblarz and Roberts (2002) reported that the family has traditionally been one of the most important sources of influence on childrenââ¬â¢s aspiration. Parents always have a thought that children would be more likely to success if they were professionals, in traditionââ¬â¢s thought, for example, doctors, lawyers, businessmen and accountants. They spent much effort and money on equipping their children. In reality, society does not only need these types of people but a diversity of skills. This kind of mindset has resulted in a bad social phenomenon so that many of the other industries (e. g. ulture, music and arts) cannot develop well and the social lacks a balance of strengths. With the aid of the above examples, it is shown that conventions wi ll obstruct the progress of society. Conventions and traditions would hinder peopleââ¬â¢s creativities and impose limitations on society. We need a breakthrough. Try to analyse from a slight different perspective and we might find new inspirations that is beneficial to ourselves or even our society. At the end, social harmony can finally be attained. Reference list: Ai, H. (2008). Building a Harmonious Society and Achieving Individual Harmony. Journal of Chinese Political Science, Vol. 3 Issue 2, p143-164. Retrieved on 23rd, October, 2012 from http://ehis. ebscohost. com/eds/detail? sid=2f313359-d4a8-40f3-80e2-aaeb1112a54e%40sessionmgr114&vid=1&hid=101&bdata=JnNpdGU9ZWRzLWxpdmUmc2NvcGU9c2l0ZQ%3d%3d#db=aph&AN=35567271 Barrett. R. E. , & Li, F. (1999) Modern China (pp. 65). United States of America: R. R. Donnelley & Sons Company. Bengtson, V. L. , Biblarz, T. K. , Robert R. E. L. , (2002). How Families Still Matter (pp. 60). United States of America: Cambridge University Press. Bo han, J. S. (1996) Psychology and Sexual Orientation (pp. 205). Great Britian: Routledge.
Friday, January 10, 2020
Internal Control Procedures
The internal control system should be designed to detect and prevent fraud, errors and omissions, and material misstatements, but it can only provide reasonable assurance that the financial statements are free from material misstatements. The best designed internal control system will not prevent management override or collusion. The internal controls system is only as good as the management support behind the system; this includes training employees and actively monitoring the controls. management should be investigated, explained and corrected as appropriate. Each of these internal. Internal control procedures are the responsibility of management. Each control should be evaluated based on risk and a cost/benefit analysis. There are several effective low cost procedures that can be implemented. These control procedures, when operating effectively, will provide reasonable assurance that mistakes will be either prevented or detected. Examples of controls that would have ensured that the prepaid adjustments were made would be to compile a check-list of recurring monthly journal entries, than as part of the financial statement review process, this check-list should be reviewed by management. At each financial statement date, each balance sheet account is reconciled; this will ensure that each balance is supported. All reconciliations should be reviewed and approved by management. Finally at each financial statement date, flux analysis should be performed by comparing the actual results with both prior period actual and the budget. All variances within a tolerance threshold defined by control procedures are manual processes, which can be implemented with proper staff training Symptoms of a lack of internal control include failure of management in exercising proper due care and proper staff supervision. These symptoms can be identified by missing documentation and identified errors in the account balances; and the lack of a company-wide ethics policy. (Herrera, 2010) Another symptom is that there is an identified lack of segregation of duties; which means that staff members have access and are performing tasks that are in contradiction to the normal assigned duties. We identified that the adjusting entries for prepaid insurance were not recorded for the first 3 months of the year. For the first three months, expenses were understated which means that net income was overstated, also current assets were also overstated.
Thursday, January 2, 2020
Benefits Of A University College - 1061 Words
University colleges create a seamless transition between one point in life (typically high school) and another (the collegiate academic environment). Students should feel higher levels of attachment to the institution, their faculty, fellow students, and the learning environment because the institution is investing into a model of student-centered ideas and actions. More importantly, such student-centered decisions are linked to educationally purposeful activities that affect student engagement. To determine the effectiveness of a university college, an institution can utilize the CSR to ask students about their undergraduate student experiences. Thus, the institution has information to develop a picture of the institutionââ¬â¢s quality. According to Diane W. Strommer (1993) almost no research existed when The National Resource Center for The Freshman Year Experience published the Number 12 Monograph, Portals of Entry: University Colleges and Undergraduate Divisions. Yet, today, the first-year college concept is almost seventy years old. Moreover, most research conducted on university colleges or other structured first-year programs are done so for internal institutional needs, rather than for mass publication. The research base is limited to small institutional unit assessments and the occasional descriptive monograph. However, information does exist describing the basic impact university colleges have had as well as how some institutions utilize those structures in theShow MoreRelatedGames Being Won, But Classes Being Dropped1175 Words à |à 5 PagesDuke University, University of Notre Dame, and University of California - Los Angeles. Some may ask why these colleges would be grouped together. Well, these are just a few of the most recognizable universities in our country. What makes these universities so popular? They have an elite sports team, whether it be basketball, football, or even lacrosse, and this attracts more attention to them. 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