4 results for “cepstral analysis”

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Research ArticleOpen accessPhrase in the titleEffects of Noises on Fundamental Frequency Extraction Using Cepstral Analysis for Thai DialectsSuphattharachai ChomphanProblem statement: The fundamental frequency (F0) of the human speech corresponds to the vibration frequency of the human vocal chords. To extract the F0 from a speech utterance, one approach is based on the Cepstral analysis. In Thai, there are four main dialects spoken by Thai people residing in four core region including central, north, northeast and south regions. Environmental … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 28 Jul 2012 · 6,908 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titlePerformance Enhancement on Voice using VAD Algorithm and Cepstral AnalysisT. Ravichandran, K. D. SamyThe Transport of Voice Over Network has been existing for a long time. Due to the bad quality of speech and absence of useful service, it has not yet been widely spread. The benefits of reduced cost and bandwidth savings of carrying voice over data network is associated with Quality of Service (QoS). Many different techniques and protocols are used … …Journal of Computer Science, Vol. 2, Issue 11 · 30 Nov 2006 · 6,584 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMultimodal Face Expression Recognition Using Parametric Exponential Linear Unit-Long Short-Term MemoryKampa Ratna Babu, Akula Suneetha, Kampa Kanthi KumarMultimodal facial expression recognition combines information from multiple modalities of audio and video to achieve the required accuracy and robustness. By integrating different data sources, multimodal systems capture different aspects of human expression. However, accurately recognizing facial expressions across audio and video modalities causes challenges due to variations in expression representation. In this research, Parametric Exponential Linear Unit-Long Short-Term Memory … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 4,612 accessesView PDF Cite

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 PDF Cite