Results 51 to 60 of about 3,813 (182)

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

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +1 more source

Gaussian Mixture Model Based Classification of Stuttering Dysfluencies

Journal of Intelligent Systems, 2016
The classification of dysfluencies is one of the important steps in objective measurement of stuttering disorder. In this work, the focus is on investigating the applicability of automatic speaker recognition (ASR) method for stuttering dysfluency ...
Mahesha P., Vinod D.S.
doaj   +1 more source

A Systematic Review of Data Science in Early Voice‐Based Detection of Parkinson's and Amyotrophic Lateral Sclerosis Neurodegenerative Diseases

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Seven‐stage AI‐powered voice biomarker pipeline for neurodegenerative disease diagnosis and clinical decision support. ABSTRACT Recent studies have shown that voice analysis provides a feasible, non‐invasive diagnostic alternative for the early detection of neurodegenerative diseases (NDs), such as Parkinson's disease (PD) and Amyotrophic Lateral ...
Abdulazeez Mousa, Fatih Özyurt, Ridwan Boya Marqas Shamoun, Laszlo Barna Iantovics   +3 more
wiley   +1 more source

Extraction of Novel Features Based on Histograms of MFCCs Used in Emotion Classification from Generated Original Speech Dataset

Elektronika ir Elektrotechnika, 2020
This paper introduces two significant contributions: one is a new feature based on histograms of MFCC (Mel-Frequency Cepstral Coefficients) extracted from the audio files that can be used in emotion classification from speech signals, and the other – our
Muhammet Pakyurek, Mahir Atmis, Selman Kulac, Umut Uludag   +3 more
doaj   +1 more source

Speech Preprocessing Method Based on Transmission Wave and Fluid Theory

Engineering Reports, Volume 8, Issue 8, August 2026.
With the continuous development of social economy, voice audio has become one of the important ways of streaming media, and is widely used in many fields. However, it is very important for how to process speech. In view of this requirement and limitation, this paper introduces transmission wave and fluid theory, tries to comb the corresponding noise ...
Lixian Wu, Weiwei Lai, Li Bu, Zhaoxiong Guan, Guangcai Wu, Yinglong Zheng   +5 more
wiley   +1 more source

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

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

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

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, Volume 38, Issue 40, 17 July 2026.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source