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05/18/2023
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks
Conformer, a convolution-augmented Transformer variant, has become the d...
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02/27/2023
Structured Pruning of Self-Supervised Pre-trained Models for Speech Recognition and Understanding
Self-supervised speech representation learning (SSL) has shown to be eff...
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12/16/2022
Context-aware Fine-tuning of Self-supervised Speech Models
Self-supervised pre-trained transformers have improved the state of the ...
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09/30/2022
E-Branchformer: Branchformer with Enhanced merging for speech recognition
Conformer, combining convolution and self-attention sequentially to capt...
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06/17/2021
Multi-mode Transformer Transducer with Stochastic Future Context
Automatic speech recognition (ASR) models make fewer errors when more su...
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11/29/2018
Tuplemax Loss for Language Identification
In many scenarios of a language identification task, the user will speci...
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10/11/2018
