Journal ArticleDOI
In-ear microphone speech quality enhancement via adaptive filtering and artificial bandwidth extension
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TLDR
Speech generated from bone and tissue conduction captured using an in-ear microphone is enhanced using adaptive filtering and a non-linear bandwidth extension method.Abstract:
Bone and tissue conducted speech has been used in noisy environments to provide a relatively high signal-to-noise ratio signal. However, the limited bandwidth of bone and tissue conducted speech degrades the quality of the speech signal. Moreover in very noisy conditions, bandwidth extension of the bone and tissue conducted speech becomes problematic. In this paper, speech generated from bone and tissue conduction captured using an in-ear microphone is enhanced using adaptive filtering and a non-linear bandwidth extension method. Objective and subjective tests are used to evaluate the performance of the proposed techniques. Both evaluations show a statistically significant quality enhancement of the noisy in-ear microphone speech with ρ < 0.0001 after denoising and ρ < 0.01 after bandwidth extension.read more
Citations
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Journal ArticleDOI
A Novel Encoder-Decoder Model via NS-LSTM Used for Bone-Conducted Speech Enhancement
TL;DR: In this paper, a dictionary representation-based encoder-decoder model was proposed to improve the quality of bone-conducted (BC) speech using sparse non-negative matrix factorization.
Journal ArticleDOI
Neutrosophic approach for enhancing quality of signals
Sudan Jha,Raghvendra Kumar,Le Hoang Son,Francisco Chiclana,Vikram Puri,Ishaani Priyadarshini +5 more
TL;DR: A new Neutrosophic approach to reduce noises and errors in signal transmission, which uses confidence function as the truth membership function, and a Dependency function at each time interval for the frequency of transmitted signal to minimize the falsehood function.
Dissertation
Bandwidth Extension of Telephony Speech
TL;DR: Object analysis of the two systems for BWE of speech into the high band in Matlab showed that BWE System 1 performed best, though both systems improved the perceived quality, and BWE systems based on LP analysis seem to be preferrable due to the superior excitation, and efficient computation of the cepstrum.
Posted Content
Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks
TL;DR: In this paper, the authors proposed a fully convolutional network (FCN) with Sinc and dilated convolutionsal layers (termed SDFCN), which operates in the time domain.
Journal ArticleDOI
A Real-Time Dual-Microphone Speech Enhancement Algorithm Assisted by Bone Conduction Sensor.
TL;DR: Experimental results demonstrate that the proposed real-time speech enhancement system provides significant speech sound quality and intelligibility improvements for all noise types and levels when compared with the AC-only beamformer with a postfiltering algorithm.
References
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Book
Fundamentals of adaptive filtering
TL;DR: This paper presents a meta-anatomy of Adaptive Filters, a system of filters and algorithms that automates the very labor-intensive and therefore time-heavy and expensive process of designing and implementing these filters.
Journal ArticleDOI
Assessment for automatic speech recognition II: NOISEX-92: a database and an experiment to study the effect of additive noise on speech recognition systems
TL;DR: NoISEX-92 specifies a carefully controlled experiment on artificially noisy speech data, examining performance for a limited digit recognition task but with a relatively wide range of noises and signal-to-noise ratios.
Journal ArticleDOI
On artificial bandwidth extension of telephone speech
Peter Jax,Peter Vary +1 more
TL;DR: A statistical approach based on a hidden Markov model (HMM) is used, which takes into account several features of the band-limited speech, and enhanced speech exhibits a significantly improved quality without objectionable artifacts.
Proceedings ArticleDOI
Air- and bone-conductive integrated microphones for robust speech detection and enhancement
Yanli Zheng,Zicheng Liu,Zhengyou Zhang,Mike Sinclair,Jasha Droppo,Li Deng,Alejandro Acero,Xuedong Huang +7 more
TL;DR: A novel hardware device that combines a regular microphone with a bone-conductive microphone that is able to detect very robustly whether the speaker is talking and remove background speech significantly, even when the background speaker speaks at the same time as the speaker wearing the headset.
Journal ArticleDOI
Adaptive feedback active noise control headset: implementation, evaluation and its extensions
TL;DR: The design and real-time implementation of a single-channel adaptive feedback active noise control headset for audio and communication applications and several new extensions to the AFANC headset are described and evaluated.
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