Results 101 to 110 of about 4,142,577 (212)
Speech synthesis using Mel-Cepstral coefficient feature [PDF]
, 2018 This thesis presents a method to improve quality of synthesized speech by reducing the vocoded effect. The synthesis model takes mel-cepstral coefficients and spectrum envelopes as features of the original speech waveform. Mel-cepstral coefficients could
Wang, Lu
core
Analysis of mel-frequency cepstral coefficients as features used for automatic speaker recognition [PDF]
, 2014 Рад је окренут ка анализи мел-фреквенцијских кепстралних коефицијената као обележја говорника која се користе при аутоматском препознавању говорника. Испитан је утицај промене облика чујних критичних опсега као и модификације енергије у њима на тачност ...
Jokić, Ivan
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New time-frequency derived cepstral coefficients for automatic speech recognition [PDF]
The goal is to improve recognition rate by optimisation of Mel Frequency Cepstral Coefficients (MFCCs): modifications concern the time-frequency representation used to estimate these coefficients.
Wassner, Hubert, Chollet, Gérard
core +1 more source
Using cepstral coefficients for Inhalation pause detection in spontaneous speech [PDF]
, 2005 A method for recognizing inhalations in spontaneous speech is presented. It is similar to the template matching technique; a distance measure is calculated between a reference sound and an equally long portion of the same sound being tracked.
Horne, Merle +2 more
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, 2015 In this work we consider the problem of feature enhancement for noise-robust automatic speech recognition (ASR). We propose a method for minimum mean-square error (MMSE) estimation of mel-frequency cepstral features, which is based on a minimum number of
Tan, Zheng-Hua; id_orcid, Jensen, Jesper
core +1 more source
AUTOMATIC SEGMENTATION OF BROADCAST AUDIO SIGNALS USING AUTO ASSOCIATIVE NEURAL NETWORKS [PDF]
ICTACT Journal on Communication Technology, 2010 In this paper, we describe automatic segmentation methods for audio broadcast data. Today, digital audio applications are part of our everyday lives. Since there are more and more digital audio databases in place these days, the importance of effective ...
P. Dhanalakshmi, S. Palanivel, M. Arul
doaj
Speech Emotion Recognition Using Mel-Frequency Cepstral Coefficients
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTAbstract—Speech Emotion Recognition (SER) has multiple applications in computational psychology, as well as human- computer interaction, and it also plays a major role in these fields. The accuracy of any machine learning technique is greatly impacted by the extraction as well as the appearance of features.
Dev Ankit Kumar +5 more
openaire +1 more source
A mathematical relationship between full-band and multiband mel-frequency cepstral coefficients
, 2002 Recently, it has been shown that robustness of automatic speech recognition (ASR) against band-limited additive noises may be improved by multiband ASR (MBASR) approaches. In an M-subband MBASR system, the channels in the full-band filterbank are divided
Mak, Brian
core +1 more source
, 2010 This study aims to identify and find the key tone of the song using extraksi cord mp3. An application that serves to extract the key songs on the guitar tune, so that will generate the key (Cord) tone that represents the humming.
Hidayat, R. (Rachmat)
core
, 2005 This work proposes a method to reconstruct an acoustic speech signal solely from a stream of mel-frequency cepstral coefficients (MFCCs) as may be encountered in a distributed speech recognition (DSR) system.
Xu Shao +3 more
core +1 more source