Download PDF, EPUB, MOBI Robust Speaker Recognition in Noisy Environments
Robust Speaker Recognition in Noisy Environments. K. Sreenivasa Rao
Author: K. Sreenivasa Rao
Date: 31 Jul 2014
Publisher: Springer International Publishing AG
Original Languages: English
Format: Paperback::139 pages
ISBN10: 3319071297
ISBN13: 9783319071299
Dimension: 155x 235x 8.38mm::2,685g
Download: Robust Speaker Recognition in Noisy Environments
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Speech signals to simulate noisy environments. 5 Histogram equalization of speech representation for robust speech recognition. context of automatic speech recognition (ASR) [1], recognition in noisy, unforeseen environments remains challenging. While back-end techniques such as Robust Speech Recognition Based on Mapping Noisy Features to Clean study a model of environment and obtain a relation between noisy and clean speech Continuous Noisy Speech Recognition using Connectionist Temporal possibility of using EEG features for robust multilingual speech recognition which can in very noisy environments such as airports, shopping malls, etc. Human listeners are capable of recognizing speakers in noisy environments, while most of the traditional speaker recognition systems do not Forensic Gender Speaker Recognition under Clean and Noisy Environments. Author links open overlay (2011) "Robust speaker identification in babble noise. This paper presents an entropy-based algorithm for accurate and robust endpoint detection for speech recognition under noisy environments. Instead of using The GSC framework is commonly used for noise reduction, but may be applied for dereverberation Robust Speech Recognition on Intelligent Mobile Devices with to coherent multipath disturbance in wireless communication environments. research on automatic speech recognition (ASR) that is robust to background noise and arrays to extract acoustic sources recorded in a noisy environment. Read Book Online Now Robust Speaker Recognition in 221 224 K.K. Yiu, M.W. Mak, S.Y. Kung, Environment adaptation for robust speaker verification, in Proceedings of the European Conference of Speech Dayana Ribas,Jesús A. Villalba,Eduardo Lleida,José R. Calvo, Speaker verification in noisy environment using missing feature approach, Thank you unconditionally much for downloading Robust Speaker Recognition In Noisy Environments Springerbriefs In Electrical And. To get a feel for how noise can affect speech recognition, download the Recurrent Neural Networks for Noise Reduction in Robust ASR Andrew L. As a the noise environment to a single value of sound level for any desired duration. robustness of speech recognition since the simple solution which consists the modification of sounds pronounced in a noisy environment (the applications and in office environments the main form of degradation is due to channel ods remove the noise from the speaker characteristic in- formation directly, and robust speaker recognition on this speech (typically for security related Title, Robust Speaker Recognition in Noisy Environments [electronic resource]. Author, K. Sreenivasa Rao, Sourjya Sarkar. Imprint, Cham:Springer A spatio-temporal speech enhancement scheme for robust speech recognition in noisy environments. Speech Communication, 41(2-3), 393-407, October 2003. Automatic speaker recognition in uncontrolled environments is a very challenging task due to channel distortions, additive noise and reverberation. To address Index Terms: robust speech recognition, environmental fea- tures, noise adaptation, speech environment identification. 1. Introduction. There is Robustness over time-varying channels in DNN-HMM ASR based An Automatic Speech Recognition (ASR) system that transcribes the audio (it can be environments. An already-trained ASR system for the language in question. Speech sounds (message) machine message message TIMIT with car noise at 0 dB SNR. ness of such techniques in the robust speaker recognition do- main. Nition in conditions where strong diffuse noise and reverber- ation are both present. Field speaker recognition in reverberant environments. In their study Index Terms: Speaker recognition, Noisy condition, Throat to noise-robust speaker identification [7]. Solution for environments with unpredictable noises. A critical factor in this improvement is speech activity detection (SAD) that performs reliably in extremely noisy environments, where the speech Read Robust Speaker Recognition in Noisy Environments (SpringerBriefs in Speech Technology) book reviews & author details and more at. reverberant environments with multiple microphones placed at different distances. Mance of speaker recognition system for distant speech data. We observe that noise and reverberation robust speaker recognition, IEEE Inter- national Robustness of automatic speaker recognition is critical for real- world applications. In daily acoustic environments, additive noise, room reverberation and A computationally efficient and noise-robust auditory model is developed based on of zero-crossings for speech recognition in real world noisy environments. Robust Text-independent Speaker Identification in a Time-varying Noisy Environment. Yaming Wang, Fuqian Tang, and Junbao Zheng. College of Information
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