Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

23 results for “speech database”
Set a search alert
Research ArticleOpen accessPhrase in the titleModeling of Fundamental Frequency Contours for Thai Dialects with Large Speech DatabaseSuphattharachai ChomphanIn four core regions of Thailand, there are four main dialects including central, north, northeast and south dialects. The prosody is significantly unique for each dialect. One important factor determining the prosody is the fundamental frequency. As a result, modeling of Fundamental frequency (F0) contour is very important for the natural speech processing. Even though there are many modeling techniques … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 20 Dec 2012 · 7,341 accessesView PDFCite
Research ArticleOpen accessIn the keywordsVERBO: Voice Emotion Recognition dataBase in Portuguese LanguageJosé R. Torres Neto, Geraldo P.R. Filho, Leandro Y. Mano, Jó UeyamaThe recognition of human emotional traits based on Affective Computing is being carried out by computational systems that are able to interpret and react intelligently to the context of the user. Speech Emotion Recognition systems are capable of transforming speech signal data into information related to the feelings of individuals in specific situations. However, the emotional expression of a human … …Journal of Computer Science, Vol. 14, Issue 11 · 2 Nov 2018 · 9,453 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffects of Environmental Noises on Fundamental Frequency Contours of Thai Expressive SpeechSuphattharachai Chomphan, Chutarat ChompunthProblem statement: The expressive speech of Thai had been studied for a short period of time. An important feature of speech was fundamental frequency (F0) which defines the human speech prosody. It could be used to distinguish the difference between several types of expressive speech. The environmental noises affect the F0 contour for Thai dialects as concluded in the previous … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 28 Jun 2012 · 6,907 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeech Signal Analysis in Phase DomainHusne Ara Chowdhury, Mohammad Shahidur RahmanSpeech signal analysis based on the Phase Spectrum (PS) in the recent years becomes more popular to the researchers due to its attractive properties. Though some problem arises during its processing but appropriate modification gives the useful result. In this study, we proposed a new method of speech signal analysis based on its phase spectral representation. After analyzing the PS … …Journal of Computer Science, Vol. 16, Issue 8 · 10 Aug 2020 · 6,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognition of Pathological Voices by Human Factor Cepstral Coefficients (HFCC)Rabeh Hamdi, Salah Hajji, Adnene CherifHuman speech is a means of communication that is very important in our daily lives. It is characterized by its great ability to transmit our ideas, our emotions, our personality etc. So, any alteration of the voice can prevent the person from exercising his professional and daily life naturally. It is for these reasons that it is very necessary to … …Journal of Computer Science, Vol. 16, Issue 8 · 7 Aug 2020 · 6,859 accessesView PDFCite
Research ArticleOpen accessIn the abstractFew-shot Fine-tuning of BERT Multilingual for Hindi Word Sense DisambiguationShailendra Kumar Patel, Rakesh Kumar, Anuj Kumar SirohiWord Sense Disambiguation (WSD) is a fundamental task in Natural Language Processing (NLP), addressing the challenge of identifying correct word meanings in context. This task is particularly complex for morphologically rich and resource-limited languages like Hindi, which exhibit significant lexical ambiguity compounded by limited availability of annotated corpora. To address these challenges, we propose a supervised approach combining the multilingual … …Journal of Computer Science, Vol. 21, Issue 11 · 26 Dec 2025 · 2,250 accessesView PDFCite
Research ArticleOpen accessIn the abstractLong Short-Term Memory Model for Classification of English-PtBR Cross-Lingual Hate SpeechThiago D. Bispo, Hendrik T. Macedo, Flávio de O. Santos et al.Automatic and accurate recognition of hate speech is a difficult job. In addition to the inherent ambiguity of the natural language, deep understanding of the linguistic structure is imperative. Usually, discriminatory discourse does not make use of typical expressions and often abuse of sarcasm. Good knowledge of world and assessment of context are thus highly demanded. Several approaches have been … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 7,338 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical 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 · 6,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractLOW 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 · 6,722 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Speech Recognition System with Hidden Markov Model and Radial Basis Function Neural NetworkJudith Justin, Ila VennilaWe analyze the performance of continuous speech recognition of a speaker independent system using Hidden Markov Model and Artificial Neural Network. Modern speech recognition systems use different combinations of the standard techniques over the basic approach to improve performance accuracy. One such combination which has gained more attention is the hybrid model. Our hybrid system for continuous speech recognition consists … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 6,819 accessesView PDFCite