research
∙
02/05/2021
Two-Stage Augmentation and Adaptive CTC Fusion for Improved Robustness of Multi-Stream End-to-End ASR
Performance degradation of an Automatic Speech Recognition (ASR) system ...
share
research
∙
10/23/2019
A practical two-stage training strategy for multi-stream end-to-end speech recognition
The multi-stream paradigm of audio processing, in which several sources ...
research
∙
06/17/2019
Multi-Stream End-to-End Speech Recognition
Attention-based methods and Connectionist Temporal Classification (CTC) ...
research
∙
04/09/2019
Performance Monitoring for End-to-End Speech Recognition
Measuring performance of an automatic speech recognition (ASR) system wi...
research
∙
04/08/2019
Exploring Methods for the Automatic Detection of Errors in Manual Transcription
Quality of data plays an important role in most deep learning tasks. In ...
research
∙
11/12/2018
Stream attention-based multi-array end-to-end speech recognition
Automatic Speech Recognition (ASR) using multiple microphone arrays has ...
research
∙
11/12/2018
Multi-encoder multi-resolution framework for end-to-end speech recognition
Attention-based methods and Connectionist Temporal Classification (CTC) ...
research
∙
10/04/2018
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling
Sequence-to-sequence (seq2seq) approach for low-resource ASR is a relati...
research
∙
10/09/2015
