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Found 5 papers, 2 papers with code
Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization
Recent advances in deep learning and automatic speech recognition have improved the accuracy of end-to-end speech recognition systems, but recognition of personal content such as contact names remains a challenge.
Variable Attention Masking for Configurable Transformer Transducer Speech Recognition
This work studies the use of attention masking in transformer transducer based speech recognition for building a single configurable model for different deployment scenarios.
Online Automatic Speech Recognition with Listen, Attend and Spell Model
The Listen, Attend and Spell (LAS) model and other attention-based automatic speech recognition (ASR) models have known limitations when operated in a fully online mode.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Towards Adapting NMF Dictionaries Using Total Variability Modeling for Noise-Robust Acoustic Features
We propose an algorithm to extract noise-robust acoustic features from noisy speech.
Multimodal Representation Learning using Deep Multiset Canonical Correlation
We propose Deep Multiset Canonical Correlation Analysis (dMCCA) as an extension to representation learning using CCA when the underlying signal is observed across multiple (more than two) modalities.
