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Speech Recognition with No Speech or with Noisy Speech [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 The performance of automatic speech recognition systems(ASR) degrades in the presence of noisy speech. This paper demonstrates that using electroencephalography (EEG) can help automatic speech recognition systems overcome performance loss in the presence of noise.
Gautam Krishna +3 more
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Speech separation for speech recognition [PDF]
Le Journal de Physique IV, 1994 Divers modeles de separation de voix parasites sont implementes a l'entree d'un systeme de reconnaissance de la parole. L'objectif est d'estimer, au travers des taux de reconnaissance, l'efficacite des principes de traitement. Un premier modele utilise l'annulation harmonique des voix parasites dans le domaine temporel.
De CheveignÉ, A. +3 more
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Band importance for speech-in-speech recognition [PDF]
JASA Express Letters, 2021 Predicting masked speech perception typically relies on estimates of the spectral distribution of cues supporting recognition. Current methods for estimating band importance for speech-in-noise use filtered stimuli. These methods are not appropriate for speech-in-speech because filtering can modify stimulus features affecting auditory stream ...
Adam K. Bosen, Emily Buss
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, 2021 AbstractSpeech recognition can be formulated as the problem of guessing a sequence of words that produces a sequence of sounds. The human brain is remarkably good at solving this problem, even though the same words correspond to many different sounds, because of accents or characteristics of the voice. Moreover, the environment is always noisy, to that
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WIREs Cognitive Science, 2012 AbstractClassic research on the perception of speech sought to identify minimal acoustic correlates of each consonant and vowel. In explaining perception, this view designated momentary components of an acoustic spectrum as cues to the recognition of elementary phonemes.
Robert E. Remez, Emily F. Thomas
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Croatian Speech Recognition [PDF]
, 2010 In the chapter we describe procedures for Croatian speech recognition which are used in a limited domain spoken dialog system for Croatian speech. The dialog system would provide information about weather in different regions of Croatia for different time periods (Žibert et al., 2003).
Sanda Martinčić-Ipšić, Ivo Ipšić
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Learning speech rate in speech recognition [PDF]
Interspeech 2015, 2015 A significant performance reduction is often observed in speech recognition when the rate of speech (ROS) is too low or too high. Most of present approaches to addressing the ROS variation focus on the change of speech signals in dynamic properties caused by ROS, and accordingly modify the dynamic model, e.g., the transition probabilities of the hidden
Dong Wang, Shi Yin, Xiangyu Zeng
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Evolutionary Speech Recognition [PDF]
, 2007 Automatic speech recognition systems are becoming ever more common and are increasingly deployed in more variable acoustic conditions, by very different speakers. So these systems, generally conceived in a laboratory, must be robust in order to provide optimal performance in real situations.
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Speech Recognition with Augmented Synthesized Speech [PDF]
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2019 Recent success of the Tacotron speech synthesis architecture and its variants in producing natural sounding multi-speaker synthesized speech has raised the exciting possibility of replacing expensive, manually transcribed, domain-specific, human speech that is used to train speech recognizers.
Zelin Wu +6 more
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Advancing Speech Recognition With No Speech Or With Noisy Speech [PDF]
2019 27th European Signal Processing Conference (EUSIPCO), 2019 In this paper we demonstrate end-to-end continuous speech recognition (CSR) using electroencephalography (EEG) signals with no speech signal as input. An attention model based automatic speech recognition (ASR) and connectionist temporal classification (CTC) based ASR systems were implemented for performing recognition.
Mason Carnahan +3 more
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