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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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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Audio-visual speech recognition with background music using single-channel source separation [PDF]
, 2012 In this paper, we consider audio-visual speech recognition with background music. The proposed algorithm is an integration of audio-visual speech recognition and single channel source separation (SCSS). We apply the proposed algorithm to recognize spoken
Erdogan, Hakan +4 more
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Robust Speaker Recognition Using Speech Enhancement And Attention Model [PDF]
, 2020 In this paper, a novel architecture for speaker recognition is proposed by cascading speech enhancement and speaker processing. Its aim is to improve speaker recognition performance when speech signals are corrupted by noise.
Hain, Thomas, Huang, Qiang, Shi, Yanpei
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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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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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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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Synopsis on Arabic speech recognition
Ain Shams Engineering Journal, 2022 With the advancement and increased usage of intelligible smart devices, researchers have an intensified interest in the field of large-vocabulary speaker-independent continuous speech recognition.
Fawaz S. Al-Anzi, Dia AbuZeina
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Multilingual Speech Recognition
, 2000 The speech-to-speech translation system Verbmobil requires a multilingual setting. This consists of recognition engines in the three languages German, English and Japanese that run in one common framework together with a language identification component which is able to switch between these recognizers.
Waibel, Alex +4 more
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Speech Recognition and Analysis of Electrical Device Control Systems Using Arduino Uno
Jurnal Teknologi dan Sistem Komputer, 2018 This study aims to develop an electrical device control system using speech recognition and perform the analysis factors that affect the accuracy of speech recognition. The system used the Arduino Uno as the main control board of the system, an Elechouse'
Dania Eridani +2 more
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