人工神经网络
计算机科学
变压器
人工智能
序列(生物学)
循环神经网络
语音识别
时滞神经网络
机器学习
工程类
遗传学
生物
电气工程
电压
作者
Priyabrata Karmakar,Shyh Wei Teng,Guojun Lu
出处
期刊:Cornell University - arXiv
日期:2021-01-01
被引量:12
标识
DOI:10.48550/arxiv.2102.07259
摘要
Attention is a very popular and effective mechanism in artificial neural network-based sequence-to-sequence models. In this survey paper, a comprehensive review of the different attention models used in developing automatic speech recognition systems is provided. The paper focuses on the development and evolution of attention models for offline and streaming speech recognition within recurrent neural network- and Transformer- based architectures.
科研通智能强力驱动
Strongly Powered by AbleSci AI