R1ckShi/AESRC2020
[ICASSP2021] Data preperation scripts, training pipeline and baseline experiment results for the Interspeech 2020 Accented English Speech Recognition Challenge (AESRC).
This project helps researchers and practitioners in speech technology prepare data and train models for accented English speech recognition and accent identification. It takes raw audio data and corresponding transcripts as input, processes them, and outputs trained speech recognition models capable of handling various English accents. Speech researchers, machine learning engineers working on voice AI, or linguists focused on accent analysis would use this.
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Use this if you need to build or benchmark models for recognizing speech in different English accents or identifying the accent itself, leveraging established challenge datasets and frameworks.
Not ideal if you are looking for a plug-and-play solution for general speech recognition without specific interest in accent challenges or developing custom models.
Stars
56
Forks
18
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 09, 2020
Commits (30d)
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