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
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Сучасний стан наукових досліджень та технологій в промисловості, 2023 The subject matter of the study is the analysis of the influence of pre-processing stages of the audio on the accuracy of speaker language regognition. The importance of audio pre-processing has grown significantly in recent years due to its key role in
Olesia Barkovska, Anton Havrashenko
doaj
, 2018 Emosi merupakan perilaku manusia yang dapat diungkapkan dengan tingkah laku berupa raut wajah dan suara. Suara adalah suatu gelombang longitudinal yang merambat di udara. Pada kehidupan sehari-hari manusia berkomunikasi dengan menggunakan suara. Baik itu
Helmiyah, Siti +2 more
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Emotion Recognition from Speech Signal Using Mel-Frequency Cepstral Coefficients
, 2015 In this paper, mel-frequency cepstral coefficients are investigated for emotional content of speech signal. The features are extracted from spoken utterance.
ATASOY, AYTEN, KORKMAZ, Onur Erdem
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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
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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
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Klasifikasi jenis suara manusia menggunakan algoritma Convolutional Neural Network dengan metode ekstraksi Mel-Frequency Cepstral Coefficients [PDF]
Deteksi jenis suara manusia dalam konteks paduan suara sebagai penggunaan media pembelajaran dengan menggunakan CNN dan MFCC. Penelitian ini bertujuan untuk mengklasifikasi jenis suara manusia sehingga terbaginya ke 4 label yaitu sopran, alto, tenor, dan
Fatah, Muhammad Reza Abdul
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Evaluation of the Vulnerability of Speaker Verification to Synthetic Speech [PDF]
, 2010 In this paper, we evaluate the vulnerability of a speaker verification (SV) system to synthetic speech. Although this problem was first examined over a decade ago, dramatic improvements in both SV and speech synthesis have renewed interest in this ...
Pucher, M. +4 more
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Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features. [PDF]
Comput Math Methods Med, 2015 Eskidere Ö, Gürhanlı A.
europepmc +1 more source
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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