Online Speech Recognition Using Multichannel Parallel Acoustic Score Computation and Deep Neural Network (DNN)- Based Voice-Activity Detector

Online Speech Recognition Using Multichannel Parallel Acoustic Score Computation and Deep Neural Network (DNN)- Based Voice-Activity Detector

This paper aims to design an online, low-latency, and high-performance speech recognition system using a bidirectional long short-term memory (BLSTM) acoustic model. To achieve this, we adopt a server-client model and a context-sensitive-chunk-based approach. The speech recognition server manages a...

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Bibliographic Details
Main Authors: Yoo Rhee Oh, Kiyoung Park, Jeon Gyu Park
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
concurrent clients
low-latency
parallel decoding
voice-activity detector (VAD)
automatic speech recognition (ASR)
bidirectional long short-term memory (BLSTM)
Online Access:https://www.mdpi.com/2076-3417/10/12/4091

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https://www.mdpi.com/2076-3417/10/12/4091

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