Results 81 to 90 of about 1,864,117 (195)
Speech Separation Using Advanced Deep Neural Network Methods: A Recent Survey
Big Data and Cognitive ComputingSpeech separation, as an important research direction in audio signal processing, has been widely studied by the academic community since its emergence in the mid-1990s.
Zeng Wang, Zhongqiang Luo
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Monaural speech separation using source-adapted models [PDF]
, 2007 We propose a model-based source separation system for use on single channel speech mixtures where the precise source characteristics are not known a priori.
Ellis, Daniel P. W. +3 more
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VECTOR-QUANTIZED SPEECH SEPARATION [PDF]
, 2021 In this paper, we present a novel method to address the single-channel speech separation problem. We propose a two-step training procedure for speech separation in a discrete latent space.
Jiang, Xilin
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The Cone of Silence: Speech Separation by Localization
CoRR, 2020 Given a multi-microphone recording of an unknown number of speakers talking concurrently, we simultaneously localize the sources and separate the individual speakers. At the core of our method is a deep network, in the waveform domain, which isolates sources within an angular region $θ\pm w/2$, given an angle of interest $θ$ and angular window size $w$.
Teerapat Jenrungrot +3 more
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Bio-inspired broad-class phonetic labelling [PDF]
, 2008 Recent studies have shown that the correct labeling of phonetic classes may help current Automatic Speech Recognition (ASR) when combined with classical parsing automata based on Hidden Markov Models (HMM).Through the present paper a method for Phonetic ...
Martínez Olalla, Rafael +6 more
core
Non-linear mapping for multi-channel speech separation and robust overlapping speech recognition [PDF]
, 2009 This paper investigates a non-linear mapping approach to extract robust features for ASR and separation of overlapping speech. Based on our previous studies, we continue to use two additional sound sources, namely, from the target and interfering ...
Dines, John +7 more
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Wavelets for intonation modeling in HMM speech synthesis [PDF]
, 2013 The pitch contour in speech contains information about different linguistic units at several distinct temporal scales. At the finest level, the microprosodic cues are purely segmental in nature, whereas in the coarser time scales, lexical tones, word ...
Suni, Antti Santeri +5 more
core
Gong-kuang zidonghuaThe complex non-stationary mechanical noise in fully mechanized mining faces severely interferes with underground dispatch communication. Existing speech separation methods based on the Time-Domain Audio Separation Network (TasNet) architecture (encoder ...
WANG Keping +4 more
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Benchmarking the First Realistic Dataset for Speech Separation
Archives of AcousticsThis paper presents a thorough benchmarking analysis of a recently introduced realistic dataset for speech separation tasks. The dataset contains audio mixtures that replicate real-life scenarios and is accompanied by ground truths, making it a valuable
Rawad MELHEM +2 more
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End-to-end speech enhancement based on ultra-lightweight channel attention
智能科学与技术学报, 2021 The full convolutional time-domain audio separation network (Conv-TasNet) is a state-of-the-art end-to-end speech separation model which was proposed recently.The Conv-TasNet used dilated convolution to expand the receptive field and fuse more speech ...
Yi HONG, Chengli SUN, Yan LENG
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