Results 71 to 80 of about 22,343 (153)
Gong-kuang zidonghua, 2013 In view of problems that γ ray method is not suitable for working face with no or little radioactive elements in roof and radar detection method has little detection range and serious signal attenuation which were used in current coal and gangue ...
HE Ai-xiang +3 more
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Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.ABSTRACT Flood forecasting has undergone significant development over the past two decades, with researchers exploring a range of innovative approaches to quantify both the hazards and risks associated with flood events across a range of magnitudes and frequencies.
Amirali Davary +3 more
wiley +1 more source
Bidirectional deep architecture for Arabic speech recognition
Open Computer Science, 2019 Nowadays, the real life constraints necessitates controlling modern machines using human intervention by means of sensorial organs. The voice is one of the human senses that can control/monitor modern interfaces.
Zerari Naima +3 more
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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.
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Towards efficient music genre classification using FastMap
, 2012 Automatic genre classification aims to correctly categorize an unknown recording with a music genre. Recent studies use the Kullback-Leibler (KL) divergence to estimate music similarity then perform classification using k-nearest neighbours (k-NN ...
de Leon, Franz, Martinez, Kirk
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OVERCOMING OVERFITTING IN MONKEY VOCALIZATION CLASSIFICATION: USING LSTM AND LOGISTIC REGRESSION
BarekengThe problem of overfitting in a classification task involving animal vocalizations, namely squirrel monkeys, golden lion tamarins, and tailed macaques, is handled in this project.
Suryasatriya Trihandaru +2 more
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Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data [PDF]
Exploration of Digital Health TechnologiesAim: COVID-19 has affected more than 223 countries worldwide and in the post-COVID era, there is a pressing need for non-invasive, low-cost, and highly scalable solutions to detect COVID-19.
Yuyang Yan +3 more
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Dianxin kexue为了充分挖掘语音信号频谱包含的情感信息以提高语音情感识别的准确性，提出了一种基于小波散射变换和梅尔频率倒谱系数（Mel-frequency cepstral coefficient，MFCC）的排列熵加权和偏差调整规则的语音情感识别融合算法（PEW-BAR）。算法首先获取语音信号的小波散射特征和梅尔频率倒谱系数的相关特征；然后按尺度维度扩展小波散射特征，利用支持向量机得到情感识别的后验概率并获得排列熵，并使用排列熵对后验概率进行加权；最后采用一种偏差调整规则进一步融合MFCC的相关特征的识别结果 ...
应娜, 吴顺朋, 杨萌, 邹雨鉴
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Системный анализ и прикладная информатикаThis work discusses speech emotion recognition via custom feature engineering and feature selection techniques using mel-frequency cepstral coefficients as initial audio features. Proposed transfer learning approach consist in employing the backward-step
D. V. Krasnoproshin, M. I. Vashkevich
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MEL frequency cepstral coefficients (MFCC) of original speakers and their imitators
Archives of Acoustics, 2014 The results of intra- and interspeaker distances between MFCC vectors obtained from speech samples of eight well-known Polish personalities and their imitations performed by cabaret entertainers are presented and discussed.
W. Majewski
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