Results 61 to 70 of about 8,304 (223)

MFCC Based Speech Retrieval

International Journal of Innovative Technology and Exploring Engineering, 2019
This paper presents an approach for speech retrieval. The feature being used in this approach is MFCC. This approach does not use any phoneme recognizer or Speech to text tool hence it can be used for other languages as well leads to the problem of speech retrieval (SR).
Dr. Jyoti Srivastava, Dr. Tanveer J. Siddiqui, Prof. U. S. Tiwary, Dr. Ashish Kumar Srivastava   +3 more
openaire   +1 more source

Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities

Bipolar Disorders, Volume 28, Issue 5, August 2026.
ABSTRACT Background Clinicians aspire to predict the emergence of Bipolar Disorder (BD) in a timely manner. To accomplish this, markers reflecting mental states that can be gathered non‐invasively and at large scale are needed. Here, we systematically evaluate evidence relating speech‐based markers to mood states in BD.
Farida Zaher, Jessica Ahrens, Delphine Raucher‐Chéné, Alban Voppel, Lena Palaniyappan   +4 more
wiley   +1 more source

Modifikasi Metode MFCC untuk Identifikasi Pembicara di Lingkungan Ber-Noise

, 2019
Beberapa metode ekstraksi fitur untuk sistem identifikasi pembicara memiliki kelemahan yaitu ketika dilingkungan berderau hasil akurasinya menurun. Metode ekstraksi fitur Mel-Frequency Cepstral Coefficient (MFCC) merupakan metode ekstraksi sinyal suara ...
Prayogi, Yanuar Risah, Prayogi, Y. R. (Yanuar)   +1 more
core   +2 more sources

Performance Analysis of Feature Mel Frequency Cepstral Coefficient and Short Time Fourier Transform Input for Lie Detection using Convolutional Neural Network

JOIV: International Journal on Informatics Visualization
This study aims to determine which model is more effective in detecting lies between models with Mel Frequency Cepstral Coefficient (MFCC) and Short Time Fourier Transform (STFT) processes using Convolutional Neural Network (CNN). MFCC and STFT processes
Dewi Kusumawati, Amil Ahmad Ilham, Andani Achmad, Ingrid Nurtanio   +3 more
doaj   +1 more source

Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition

Applied AI Letters, Volume 7, Issue 2, June 2026.
Our Self‐Supervised Feature Fusion (SSF‐FT) method enhances low‐resource speech recognition by adaptively combining features from self‐supervised models trained with Contrastive, Predictive, and Reconstruction objectives. This attention‐weighted ensemble delivers robust performance, particularly in acoustically challenging conditions, extending current
Ussen Kimanuka, Ciira wa Maina, Osman Büyük   +2 more
wiley   +1 more source

Gate‐Align‐SED: Semi‐Supervised Sound Event Detection via Adaptive Feature Gating and Cross‐Task Alignment in Situation Awareness

Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen, Li‐Minn Ang, Chee Shen Lim, Kah Phooi Seng, Jeremy Smith   +4 more
wiley   +1 more source

SPEAKER IDENTIFICATION FOR ISOLATED GUJARATI DIGITS USING MFCC AND VQ [PDF]

ICTACT Journal on Soft Computing, 2019
The research presented in this paper is part of an ongoing investigation of speaker identification for Gujarati isolated digit. In our previous work, we evaluated feature extraction method of Gujarati isolated digit for speaker identification using Mel ...
Pooja Prajapati, Miral Patel
doaj   +1 more source

Scale-invariant MFCCs for speech/speaker recognition

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2019
The feature extraction process is a fundamental part of speech processing. Mel frequency cepstral coefficients (MFCCs) are the most commonly used feature types in the speech/speaker recognition literature. However, the MFCC framework may face numerical issues or dynamic range problems, which decreases their performance.
Tüfekci Z., Dişken G.
openaire   +2 more sources

Application of Music Data Visualization Technology in Music Appreciation Teaching

Engineering Reports, Volume 8, Issue 6, June 2026.
The simulation environment is used to simulate real‐world music appreciation scenarios. DL is employed to preprocess music data, extract features, and identify rhythm information, which is then associated with visual design parameters to construct a parametric model.
Xiaowei Chen
wiley   +1 more source

Four main steps of the MFCC feature extraction process.

, 2022
Four main steps of the MFCC feature extraction process.
Alan Godfrey (3145152), Tracey Covassin (11309175), Conor Wall (13717810), Aaron J. Zynda (13876247), Sam Stuart (11868753), Dylan Powell (11868750), Fraser Young (7243097)   +6 more
core   +1 more source