Results 91 to 100 of about 10,198 (208)
FEATURE EXTRACTION USING I-VECTOR AND X-VECTOR METHODS FOR SPEAKER DIARIZATION [PDF]
ICTACT Journal on Soft ComputingSpeaker diarization is the process of identifying who is speaking at different times in audio recordings. This is important in various situations, such as recording meetings, monitoring calls in call centers, or analyzing media.
Vinod K. Pande +2 more
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Gong-kuang zidonghuaThe underground production environment in coal mines is harsh, and key equipment such as gas pumps, ventilators, and coal shearers often operate continuously, making them susceptible to faults.
QIU Ji'er, WANG Qi, WANG Peng
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Comparative Vibroacoustic Analysis of Spinal Needle Insertion Actions: Quincke vs. Sprotte
Current Directions in Biomedical EngineeringTactile feedback during needle placement is often the only guiding sense, yet it remains subjective and strongly operator-dependent. We investigated whether friction-induced vibrations captured proximally at the needle hub can provide complementary ...
Berke Özdil Oguzhan +4 more
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Dilated-Convolutional Recurent Neural Network untuk Klasifikasi Genre Musik
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)Dalam era digital, pemanfaatan teknologi untuk mengelompokkan genre musik secara otomatis menjadi sangat penting, terutama untuk aplikasi seperti rekomendasi musik, analisis tren musik, dan pengelolaan perpustakaan musik digital.
Mochammad Rizqul Fatichin +3 more
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Computing nasalance with MFCCs and Convolutional Neural Networks
PLOS ONENasalance is a valuable clinical biomarker for hypernasality. It is computed as the ratio of acoustic energy emitted through the nose to the total energy emitted through the mouth and nose (eNasalance). A new approach is proposed to compute nasalance using Convolutional Neural Networks (CNNs) trained with Mel-Frequency Cepstrum Coefficients ...
Andrés Lozano +3 more
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피치히스토그램과 MFCC-VQ 동적패턴을 이용한 음악 검색
, 2005 학위논문(석사) - 한국정보통신대학교 : 공학부, 2005, [ x, 43 p. ]When we listen to unknown music contents on TV or computer, we often want to know some information about the music.
박철의, Park, Chul-Eui
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Zhendong Ceshi yu Zhenduan针对声音信号分析在诊断带式输送机托辊故障中的高维特征存在信息冗余、计算量大和诊断效果不理想等问题，笔者构建了声音信号特征精简策略，基于Circle混沌映射、Levy飞行策略和正弦因子改进了霜冰优化算法（rime optimization algorithm，简称RIME），记作CLSRIME。再结合极致梯度提升模型（extreme gradient boosting，简称XGBOOST），构建了CLSRIME‑XGBOOST带式输送机托辊轴承故障诊断方法。首先，利用梅尔倒谱系数（Mel⁃scale ...
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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
doaj
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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Journal of Applied Informatics and ComputingThe development of voice based biometric security systems has increased the demand for authentication methods capable of operating accurately and securely in open set speaker verification scenarios.
Mirza Ardiana +6 more
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