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Found 5 papers, 0 papers with code
Fearless Steps APOLLO: Advanced Naturalistic Corpora Development
We aim to make this entire resource and supporting speech technology meta-data creation publicly available as a Community Resource for the development of speech and behavioral science.
Language Agnostic Data-Driven Inverse Text Normalization
With the emergence of automatic speech recognition (ASR) models, converting the spoken form text (from ASR) to the written form is in urgent need.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised Learning Features in Robust End-to-end Speech Recognition
As such, we further propose a feature refinement loss for decorrelation to efficiently combine the set of input features.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Scenario Aware Speech Recognition: Advancements for Apollo Fearless Steps & CHiME-4 Corpora
With additional techniques such as pronunciation and silence probability modeling, plus multi-style training, we achieve a +5. 42% and +3. 18% relative WER improvement for the development and evaluation sets of the Fearless Steps Corpus.
Building state-of-the-art distant speech recognition using the CHiME-4 challenge with a setup of speech enhancement baseline
This paper describes a new baseline system for automatic speech recognition (ASR) in the CHiME-4 challenge to promote the development of noisy ASR in speech processing communities by providing 1) state-of-the-art system with a simplified single system comparable to the complicated top systems in the challenge, 2) publicly available and reproducible recipe through the main repository in the Kaldi speech recognition toolkit.
Ranked #2 on
Noisy Speech Recognition
on CHiME real
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
