… Abstract Deep Speech is an end-to-end speech recognition system that uses adepth-of-learning
method instead of a tradi⁃ tional feature extraction method to generate the …

… Deep speech: Scaling up end-to-end speech recognition. … EESEN: End-to-end speech
recognition using deep RNN … 2015 IEEE Workshop on Automatic Speech Recognition and …

… Abstract: In order to improve the direct processing ability of the neural network to the time
domain waveform of speech signal, this paper proposes an end-to-end speech enhancement …

… In other words, an End-to-End big data system should have … Guided by end-to-end principle,
domain specialists only need … In end-to-end manner, data scientists consider both x and y …

… Visual Speech Recognition (VSR) research. Notably, [12] pioneered an end-to-end network
utilizing 3D convolutions and gated recurrent units (GRUs) for recognizing visual speech …

… 如,科大讯 飞的DFCNN,百度的Deep Speech 等.文本以DF⁃ CNN 作为基础模型进行研究,分析…
the traditional speech recognition acoustic model DFCNN extracts speech features,the deep …

… end-to-end automatic annotation based on CNN [31]. It performs adaptive feature learning
with a deep CNN structure before constructing the end-to-end … , is used to scale up the size of …

… and allow a rapid prototyping of an end-to-end speaker recognition system. For each step
from front-end feature extraction, normalization, speech activity detection, modelling, scoring …

… effectively in the recognition of Chinese speech, an end-to-end Chinese speech
recognition algorithm integrating language model is proposed. Firstly, an acoustic model from …

… At present, end-to-end speech recognition has achieved … models of end-to-end streaming
speech recognition are analyzed … directly realize streaming speech recognition, and monotone …