Results 111 to 120 of about 2,981,759 (215)

Raga Identification Using Mel Frequency Cepstral Coefficient

International Journal of Innovations in Engineering and Science, 2023
Kavita. S. Patil, Pramod J. Deore, V. S. Kharote   +2 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  

Speech Emotion Recognition Using Mel-Frequency Cepstral Coefficients

INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Abstract—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, Er. Disha Sharma, Suraj Kumar, Rishav Kumar, Ambuj Shukla, Amanjeet Kumar   +5 more
openaire   +1 more source

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 the influence of selected audio pre-processing stages on accuracy of speaker language recognition

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  

EKSTRAKSI CIRI EMOSI MANUSIA BERDASARKAN UCAPAN MENGGUNAKAN MEL-FREQUENCY CEPSTRAL COEFFICIENTS (MFCC)

, 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, Yudhana, Anton, Fadlil, Abdul   +2 more
core  

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, Rangding WANG, Diqun YAN, Can LI   +3 more
doaj   +2 more sources

A Comparative Investigation of Cepstral Feature Extraction Methods for Deepfake Speech Detection

Applied Sciences
The 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

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
core  

Predicting fundamental frequency from mel-frequency cepstral coefficients to enable speech reconstruction

, 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, Shao, Xu, Ben Milner, Milner, Ben P.   +3 more
core   +1 more source