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143 articles for “Speech”
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Research ArticleOpen accessEvery word in the titleSpeech Enhancement Based on Adaptive Noise Cancellation and Particle Swarm OptimizationTayseer M.F. Taha, Summrina Kanwal Wajid, Amir HussainSpeech enhancement is used in almost all modern communication systems. This is due to the quality of speech being degraded by environmental interference factors, such as: Acoustic additive noise, acoustic reverberation or white Gaussian noise. This paper, explores the potential of different benchmark optimization techniques for enhancing the speech signal. This is accomplished by fine tuning filter coefficients using a … …Journal of Computer Science, Vol. 15, Issue 5 · 28 May 2019 · 7,734 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpeech Segmentation Using Dynamic Windows and Thresholds for Arabic and English LanguagesYahia Hasan JazyahSegmentation of audio data such as human speech (splitting each word in separate audio file – .WAV file) has been a major concern when working with multimedia such as recordings from radio or TV. The main focus of the segmentation of boundaries of spoken language has been on using energy and zero crossing thresholds for endpoint detection. Errors in endpoint … …Journal of Computer Science, Vol. 14, Issue 4 · 18 Apr 2018 · 7,785 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeature Extraction Method for Improving Speech Recognition in Noisy EnvironmentsYoussef Zouhir, Kaïs OuniThe paper presents a feature extraction method, named as Normalized Gammachirp Cepstral Coefficients (NGCC) that incorporates the properties of the peripheral auditory system to improve robustness in noisy speech recognition. The proposed method is based on a second order low-pass filter and normalized gammachirp filterbank to emulate the mechanisms performed in the outer/middle ear and cochlea. The speech recognition performance … …Journal of Computer Science, Vol. 12, Issue 2 · 25 Mar 2016 · 7,873 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStatistical Parametric Evaluation on New Corpus Design for Malay Speech Articulation Disorder Early DiagnosisMohd Nizam Mazenan, Tan Tian Swee, Tan Hui Ru, Azran AzhimSpeech-to-Text or always been known as speech recognition plays an important role nowadays especially in medical area specifically in speech impairment. In this study, a Malay language speech-to-Text system was been designed by using Hidden Markov Model (HMM) as a statistical engine with emphasizing the way of Malay speech corpus design specifically for Malay articulation speech disorder. This study also … …American Journal of Applied Sciences, Vol. 12, Issue 7 · 4 Aug 2015 · 6,499 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePROBABILISTIC PREDICTING IN SPEECH IN DISTRESS AND AT THE NEUROTIC DISORDERSMarina M. SolobutinaThe present article provides the results obtained in course of the empirical investigation on the probabilistic predicting in the speech activity. The aim of the research was to show the nature of interrelation between the predicting abilities in the speech activity and severity of distress at the neurotic disorders. In course of the research the following hypotheses were developed: (1) … …OnLine Journal of Biological Sciences, Vol. 14, Issue 2 · 25 Jun 2014 · 7,165 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleARABIC PART OF SPEECH TAGGING USING K-NEAREST NEIGHBOUR AND NAIVE BAYES CLASSIFIERS COMBINATIONRund Mahafdah, Nazlia Omar, Omaia Al-OmariPart Of Speech (POS) tagging forms the important preprocessing step in many of the natural language processing applications such as text summarization, question answering and information retrieval system. It is the process of classifying every word in a given context to its appropriate part of speech. Different POS tagging techniques in the literature have been developed and experimented. Currently, it … …Journal of Computer Science, Vol. 10, Issue 9 · 2 May 2014 · 7,583 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSPATIAL AND TEMPORAL ELEMENTS OF ANTICIPATION CONSISTENCY OF CHILDREN WITH GENERAL SPEECH RETARDATIONAnna Ivanovna AkhmetzyanovaPsychologists of child care settings who are engaged in diagnosing psychological readiness of children for school education distinguished a group of individuals who are not sufficiently ready for the school education. At that, the overall assessment of the intellectual development of a child can be within the average age-related values. However, in the course of special research (defectological, neuropsychological), the … …American Journal of Applied Sciences, Vol. 11, Issue 7 · 17 Apr 2014 · 7,673 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA NOVEL SPEECH ENHANCEMENT APPROACH BASED ON MODIFIED DCT AND IMPROVED PITCH SYNCHRONOUS ANALYSISV. R. Balaji, S. SubramanianSpeech enhancement has become an essential issue within the field of speech and signal processing, because of the necessity to enhance the performance of voice communication systems in noisy environment. There has been a number of research works being carried out in speech processing but still there is always room for improvement. The main aim is to enhance the apparent … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 21 Nov 2013 · 6,802 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLOW FOOTPRINT HIGH INTELLIGIBILITY MALAY SPEECH SYNTHESIZER BASED ON STATISTICAL DATALau Chee Yong, Tan Tian SweeSpeech synthesis plays a pivotal role nowadays. It can be found in various daily applications such as in mobile phones, navigation systems, languages learning software and so on. In this study, a Malay language speech synthesizer was designed using hidden Markov model to improve the performance of current Malay speech synthesizer and also extend Malay speech technology. Statistical parametric method … …Journal of Computer Science, Vol. 10, Issue 2 · 19 Nov 2013 · 6,725 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Method for Automatic Speech Recognition Performance Improvement in Real World Noisy EnvironmentUrmila Shrawankar, Vilas ThakareIt is a well known fact that, speech recognition systems perform well when the system is used in conditions similar to the one used to train the acoustic models. However, mismatches degrade the performance. In adverse environment, it is very difficult to predict the category of noise in advance in case of real world environmental noise and difficult to achieve … …Journal of Computer Science, Vol. 9, Issue 1 · 27 Feb 2013 · 7,758 accessesView PDFCite