Results 31 to 40 of about 22,343 (153)

Enhancing timbre model using MFCC and its time derivatives for music similarity estimation

, 2012
One of the popular methods for content-based music similarity estimation is to model timbre with MFCC as a single multivariate Gaussian with full covariance matrix, then use symmetric Kullback-Leibler divergence.
de leon, Franz, Martinez, Kirk
core   +1 more source

Speech Processing in Computer Vision Applications [PDF]

, 2020
Deep learning has been recently proven to be a viable asset in determining features in the field of Speech Analysis. Deep learning methods like Convolutional Neural Networks facilitate the expansion of specific feature information in waveforms, allowing ...
Waterworth, Nicholas
core   +2 more sources

Statistically Significant Duration-Independent-based Noise-Robust Speaker Verification [PDF]

International Journal of Mathematical, Engineering and Management Sciences
A speaker verification system models individual speakers using different speech features to improve their robustness. However, redundant features degrade the system's performance.
Asmita Nirmal, Deepak Jayaswal, Pramod H. Kachare   +2 more
doaj   +1 more source

A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification

, 2017
In Acoustic Scene Classification (ASC) two major approaches have been followed . While one utilizes engineered features such as mel-frequency-cepstral-coefficients (MFCCs), the other uses learned features that are the outcome of an optimization algorithm.
bisot, brookes, brümmer, dehak, dehak, eghbal-zadeh, eghbal-zadeh, elizalde, garcia-romero, hatch, lehner, lin, mika, salamon, valenti, zeinali   +15 more
core   +1 more source

SPEAKER IDENTIFICATION SYSTEM USING AUDIO SIGNAL AND DEEP LEARNING METHOD [PDF]

Proceedings on Engineering Sciences
Automatic Speaker Identification (ASI) does not result in high accuracy, so it is essential to develop a highly accurate Speaker Identification (SI) system. Artificial Intelligence has shown remarkable improvement in the development of such systems using
Neelam Nehra , Pardeep Sangwan , Neelu Trivedi   +2 more
doaj   +1 more source

New Samarium and Neodymium based admixed ferromagnets with near zero net magnetization and tunable exchange bias field

, 2008
Rare earth based intermetallics, SmScGe and NdScGe, are shown to exhibit near zero net magnetization with substitutions of 6 to 9 atomic percent of Nd and 25 atomic percent of Gd, respectively.
A K Grover, Avisou K, Fuke H Kamiguchi Y Hashimoto S Funiyama T Saito K Iwasaki H Sahashi M, Grover A K, Grover A K Rambabu D Dhar S K Malik S K Vijayaraghavan R Hilscher G Kirchmayr H, Morrish A H, P Manfrinetti, Prasanna D Kulkarni, S K Dhar, U V Vaidya, Williams H J, Wu A H   +11 more
core   +1 more source

Fault detection method for belt conveyor idler

Gong-kuang zidonghua, 2023
The existing fault detection methods for belt conveyor idler have the problems of low recognition precision, poor anti-interference capability and inability to operate stably over a long period of time.
WU Guoping
doaj   +1 more source

Discrimination between patients with CVDs and healthy people by voiceprint using the MFCC and Pitch

Diagnostyka, 2021
Heart diseases cause many deaths around the world every year, and his death rate makes him the leader of the killer diseases. But early diagnosis can be helpful to decrease those several deaths and save lives.
Abdelhamid Bourouhou, Abdelilah Jilbab, Chafik Nacir, Zaineb Bourouhou   +3 more
doaj   +1 more source

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

Speech depression recognition based on attentional residual network

Frontiers in Bioscience-Landmark, 2021
Background: Depressive disorder is a common affective disorder, also known as depression, which is characterized by sadness, loss of interest, feelings of guilt or low self-worth and poor concentration.
Xiaoyong Lu, Daimin Shi, Yang Liu, Jingyi Yuan   +3 more
doaj   +1 more source