Results 21 to 30 of about 2,396,973 (306)
Non-autoregressive Transformer Chinese Speech Recognition Incorporating Pronunciation- Character Representation Conversion [PDF]
Jisuanji kexue, 2023 The Transformer based on self-attention mechanism shows powerful model performance in speech recognition tasks,where the non-autoregressive Transformer automatic speech recognition model has a faster decoding speed compared with the autoregressive model ...
TENG Sihang, WANG Lie, LI Ya
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Avoiding distortions due to speech coding and transmission errors [PDF]
, 1999 We have extended our previous research on a new approach to automatic speech recognition (ASR) in the GSM environment. Instead of recognizing from the decoded speech signal, our system works from the digital speech representation used by the GSM encoder.
Valverde Albacete, Francisco José +8 more
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Selection of acoustic modeling unit for Tibetan speech recognition based on deep learning [PDF]
MATEC Web of Conferences, 2021 The selection of the speech recognition modeling unit is the primary problem of acoustic modeling in speech recognition, and different acoustic modeling units will directly affect the overall performance of speech recognition.
Gong Baojia +4 more
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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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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.
Gautam Krishna +3 more
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Information state based speech recognition [PDF]
, 2010 One of the pitfalls in spoken dialogue systems is the brittleness of automatic speech recognition (ASR). ASR systems often misrecognize user input and they are unreliable when it comes to judging their own performance.
Jonson, Rebecca
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A novel privacy-preserving speech recognition framework using bidirectional LSTM
Journal of Cloud Computing: Advances, Systems and Applications, 2020 Utilizing speech as the transmission medium in Internet of things (IoTs) is an effective way to reduce latency while improving the efficiency of human-machine interaction. In the field of speech recognition, Recurrent Neural Network (RNN) has significant
Qingren Wang +4 more
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Speaker-independent emotion recognition exploiting a psychologically-inspired binary cascade classification schema [PDF]
, 2012 06.08.13 KB. Ok to add accepted version to spiral, embargo period expired. SpringerIn this paper, a psychologically-inspired binary cascade classification schema is proposed for speech emotion recognition.
Kotti, Margarita, Paternò, Fabio
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Streaming End-to-End Target-Speaker Automatic Speech Recognition and Activity Detection
IEEE Access, 2023 Automatic speech recognition of a target speaker in the presence of interfering speakers remains a challenging issue. One approach to tackle this problem is target-speaker speech recognition, which conditions the recognition process on an embedding that ...
Takafumi Moriya +4 more
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Recognizing Voice Over IP: A Robust Front-End for Speech Recognition on the World Wide Web [PDF]
, 2001 The Internet Protocol (IP) environment poses two relevant sources of distortion to the speech recognition problem: lossy speech coding and packet loss. In this paper, we propose a new front-end for speech recognition over IP networks.
Peláez-Moreno, Carmen +5 more
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