Results 41 to 50 of about 1,864,117 (195)
Common Brain Substrates Underlying Auditory Speech Priming and Perceived Spatial Separation
Frontiers in Neuroscience, 2021 Under a “cocktail party” environment, listeners can utilize prior knowledge of the content and voice of the target speech [i.e., auditory speech priming (ASP)] and perceived spatial separation to improve recognition of the target speech among masking ...
Junxian Wang +11 more
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Interaction between voice-gender difference and spatial separation in release from masking in multi-talker listening environments [PDF]
JASA Express Letters, 2021 Voice-gender difference and spatial separation between talkers are important cues for speech segregation in multi-talker listening environments. The goal of this study was to investigate the interactions of these two cues to explore how they influence ...
Yonghee Oh +4 more
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Two-Microphone Separation of Speech Mixtures [PDF]
IEEE Transactions on Neural Networks, 2008 Separation of speech mixtures, often referred to as the cocktail party problem, has been studied for decades. In many source separation tasks, the separation method is limited by the assumption of at least as many sensors as sources. Further, many methods require that the number of signals within the recorded mixtures be known in advance.
Michael Syskind Pedersen +3 more
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PLoS ONE, 2020 Speech perception in noise is challenging and is improved by binaural hearing. Since signal processing of assistive hearing devices often modifies or masks the peripheral binaural head-shadow or better-ear effects, central binaural processing should be ...
Luise Wagner +5 more
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Speech Signal Separation Based on Generative Adversarial Networks [PDF]
Jisuanji gongcheng, 2020 The single-channel speech separation based on deep learning needs to calculate the time-frequency masking,which,however,cannot be learnt in the existing methods.Moreover,the time-frequency masking is not encapsulated in in-depth learning for optimization,
LIU Hang, LI Yang, YUAN Haoqi, WANG Junying
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A Unified Framework for Speech Separation
CoRR, 2019 Speech separation refers to extracting each individual speech source in a given mixed signal. Recent advancements in speech separation and ongoing research in this area, have made these approaches as promising techniques for pre-processing of naturalistic audio streams. After incorporating deep learning techniques into speech separation, performance on
Fahimeh Bahmaninezhad +5 more
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Time-domain adaptive attention network for single-channel speech separation
EURASIP Journal on Audio, Speech, and Music Processing, 2023 Recent years have witnessed a great progress in single-channel speech separation by applying self-attention based networks. Despite the excellent performance in mining relevant long-sequence contextual information, self-attention networks cannot ...
Kunpeng Wang +4 more
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NAS-TasNet: Neural Architecture Search for Time-Domain Speech Separation
IEEE Access, 2022 The fully convolutional time-domain speech separation network (Conv-TasNet) has been used as a backbone model in various studies because of its structural excellence. To maximize the performance and efficiency of Conv-TasNet, we attempt to apply a neural
Joo-Hyun Lee +3 more
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, 2011 This is the author's accepted pre-print of the article, first published as G. Evangelista, S. Marchand, M. D. Plumbley and E. Vincent. Sound source separation. In U. Zölzer (ed.), DAFX: Digital Audio Effects, 2nd edition, Chapter 14, pp. 551-588.
S. Marchand +11 more
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, 2023 PurposeThe aim of this tutorial is to support speech-language pathologists (SLPs) undertaking assessments of multilingual children with suspected speech sound disorders, particularly children who speak languages that are not shared with their SLP ...
McLeod, Sharynne +2 more
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