Search Results for author:
Found 6 papers, 1 papers with code
Residual Language Model for End-to-end Speech Recognition
In this paper, we propose a simple external LM fusion method for domain adaptation, which considers the internal LM estimation in its training.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Joint Speech Recognition and Audio Captioning
A major hurdle in evaluating our proposed approach is the lack of labeled audio datasets with both speech transcriptions and audio captions.
Run-and-back stitch search: novel block synchronous decoding for streaming encoder-decoder ASR
To this end, we propose a novel blockwise synchronous decoding algorithm with a hybrid approach that combines endpoint prediction and endpoint post-determination.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation
We motivate and propose a suite of simple but effective improvements for concept-to-text generation called SAPPHIRE: Set Augmentation and Post-hoc PHrase Infilling and REcombination.
Data Augmentation Methods for End-to-end Speech Recognition on Distant-Talk Scenarios
Although end-to-end automatic speech recognition (E2E ASR) has achieved great performance in tasks that have numerous paired data, it is still challenging to make E2E ASR robust against noisy and low-resource conditions.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Bayesian Non-Parametric Multi-Source Modelling Based Determined Blind Source Separation
This paper proposes a determined blind source separation method using Bayesian non-parametric modelling of sources.
