research
∙
03/22/2023
Self-supervised Learning with Speech Modulation Dropout
We show that training a multi-headed self-attention-based deep network t...
share
research
∙
03/07/2023
Stabilized training of joint energy-based models and their practical applications
The recently proposed Joint Energy-based Model (JEM) interprets discrimi...
research
∙
09/30/2022
Blind Signal Dereverberation for Machine Speech Recognition
We present a method to remove unknown convolutive noise introduced to sp...
research
∙
03/31/2022
Importance of Different Temporal Modulations of Speech: A Tale of Two Perspectives
How important are different temporal speech modulations for speech recog...
research
∙
03/24/2022
Complex Frequency Domain Linear Prediction: A Tool to Compute Modulation Spectrum of Speech
Conventional Frequency Domain Linear Prediction (FDLP) technique models ...
research
∙
03/25/2021
Radically Old Way of Computing Spectra: Applications in End-to-End ASR
We propose a technique to compute spectrograms using Frequency Domain Li...
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 ...
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
∙
11/29/2017
