Results 101 to 110 of about 3,790,103 (166)
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
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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
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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
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
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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, 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
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A playback speech detection algorithm based on log inverse Mel-frequency spectral coefficient
Dianxin kexue, 2018 The popularity and portability of high-fidelity audio recording equipment and playback equipment poses a serious challenge for speaker recognition systems against playback attacks.Based on the differences between the original speech and the playback ...
Lang LIN +3 more
doaj +2 more sources
, 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
A Comparative Investigation of Cepstral Feature Extraction Methods for Deepfake Speech Detection
Applied SciencesThe widespread adoption of voice-based authentication systems has been accompanied by an escalating threat from deep learning-based synthetic speech generation techniques.
Nida Akıncı, Erdal Özbay
doaj +1 more source