Results 21 to 30 of about 275,421 (290)
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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Gazi Üniversitesi Fen Bilimleri Dergisi, 2019 Speech is a paramount means of communication among humans, which makes recognition of the speech by computers is a study area of significance. In this research area, many studies have been carried out based on different languages.
Saadin OYUCU +2 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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Heliyon, 2023 Speech recognition is the foundation of human-computer interaction technology and an important aspect of speech signal processing, with broad application prospects. Therefore, it is very necessary to recognize speech.
Shaohua Jiang, Zheng Chen
doaj
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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Optimization of Intelligent English Pronunciation Training System Based on Android Platform
Complexity, 2021 Oral English, as a language tool, is not only an important part of English learning but also an essential part. For nonnative English learners, effective and meaningful voice feedback is very important. At present, most of the traditional recognition and
Qianyu Cao, Hanmei Hao
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Large Vocabulary Spontaneous Speech Recognition for Tigrigna [PDF]
arXiv, 2023 This thesis proposes and describes a research attempt at designing and developing a speaker independent spontaneous automatic speech recognition system for Tigrigna The acoustic model of the Speech Recognition System is developed using Carnegie Mellon University Automatic Speech Recognition development tool (Sphinx) while the SRIM tool is used for the ...
arxiv
Recognition of English speech – using a deep learning algorithm
Journal of Intelligent Systems, 2023 The accurate recognition of speech is beneficial to the fields of machine translation and intelligent human–computer interaction. After briefly introducing speech recognition algorithms, this study proposed to recognize speech with a recurrent neural ...
Wang Shuyan
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Unvoiced Speech Recognition Using Tissue-Conductive Acoustic Sensor
EURASIP Journal on Advances in Signal Processing, 2007 We present the use of stethoscope and silicon NAM (nonaudible murmur) microphones in automatic speech recognition. NAM microphones are special acoustic sensors, which are attached behind the talker's ear and can capture not only normal (audible) speech ...
Hiroshi Saruwatari +3 more
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Silent versus modal multi-speaker speech recognition from ultrasound and video [PDF]
arXiv, 2021 We investigate multi-speaker speech recognition from ultrasound images of the tongue and video images of the lips. We train our systems on imaging data from modal speech, and evaluate on matched test sets of two speaking modes: silent and modal speech.
arxiv