Results 81 to 90 of about 3,612,587 (208)

An Underwater Acoustic Target Recognition Method Based on Restricted Boltzmann Machine

Sensors, 2020
This article focuses on an underwater acoustic target recognition method based on target radiated noise. The difficulty of underwater acoustic target recognition is mainly the extraction of effective classification features and pattern classification ...
Xinwei Luo, Yulin Feng
doaj   +1 more source

A Theoretically Consistent Method for Minimum Mean-Square Error Estimation of Mel-Frequency Cepstral Features

, 2014
We propose a method for minimum mean-square error (MMSE) estimation of mel-frequency cepstral features for noise robust automatic speech recognition (ASR).
Tan, Zheng-Hua; id_orcid, Jensen, Jesper, Zheng-Hua Tan, Jesper Jensen   +3 more
core   +1 more source

Spoken English Assisted Training Model Based on Multifeature Parameters and Dynamic Time Warping Algorithm

Engineering Reports, Volume 8, Issue 5, May 2026.
Flow chart of the base sound trace extraction of speech. ABSTRACT With the acceleration of internationalization, the deficiency of traditional English classroom in English spoken teaching is becoming more obvious, especially the lack of effectiveness and immediate feedback. Therefore, a spoken English assisted training model is proposed.
Lubing Shang, Lu Ma
wiley   +1 more source

A robust deep learning model for fall action detection using healthcare wearable sensors [PDF]

PeerJ Computer Science
The proposed technique begins with Butterworth’s sixth-order filtering of the data followed by segmentation through Hamming window application. The identification of essential patterns is achieved through the utilization of feature extraction methods ...
Abdulwahab Alazeb, Iqra Aijaz Abro, Naif Al Mudawi, Haita F. Alhasson, Naif S. Alshassari, Mohammed Alshehri, Fatimah Alhayan   +6 more
doaj   +2 more sources

Neural architectures for gender detection and speaker identification

Cogent Engineering, 2020
In this paper, we investigate two neural architecture for gender detection and speaker identification tasks by utilizing Mel-frequency cepstral coefficients (MFCC) features which do not cover the voice related characteristics.
Orken Mamyrbayev, Alymzhan Toleu, Gulmira Tolegen, Nurbapa Mekebayev   +3 more
doaj   +1 more source

Kecerdasan Buatan untuk Rekognisi Audio Alat Musik Berbasis Ciri Mel Frequency Cepstral Coefficient (MFCC)

, 2020
Perkembangan kecerdasan buatan saat ini sangatlah pesat guna menciptakan sistem komputer yang mendekati perilaku manusia. Salah satu perilaku manusia yang dapat diadaptasi menggunakan kecerdasan buatan adalah kemampuan pendengaran manusia. Manusia mampu mengidentifikasi berbagai jenis sumber suara berdasarkan warna suaranya, termasuk suara alat musik ...
Sinta, Satwika, Yokanan Wigar, Mandasari, Miranti Indar   +2 more
openaire   +2 more sources

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López, Llanos Tobarra, Antonio Robles‐Gómez, Rafael Pastor‐Vargas   +3 more
wiley   +1 more source

IMPROVED LONG-RANGE DEPENDENCY CAPTURE IN SPEECH SENTIMENT RECOGNITION: A COMPARATIVE STUDY OF MFCC-BILSTM AND MFCC-LSTM [PDF]

Proceedings on Engineering Sciences
The accurate analysis of sentiments conveyed through spoken language is of paramount importance in the domains of human-computer interaction. Speech sentiment recognition requires capturing long-range temporal dependencies within the speech signal.
Suman Lata , Pardeep Sangwan , Dinesh Sheoran , Prachi Chaudhary   +3 more
doaj   +1 more source

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

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