HKAB/vietnamese-rnnt-tutorial
A tutorial on how to train RNN-T from scratch with Whisper encoder
This project helps speech recognition engineers and researchers train a streaming speech-to-text system for Vietnamese. It takes Vietnamese audio data and text transcripts as input and produces a deployable model that can convert spoken Vietnamese into written text in real-time. This is for individuals building advanced voice applications or conducting research in Vietnamese natural language processing.
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Use this if you need to build or benchmark a high-performance, real-time speech recognition model specifically for Vietnamese audio.
Not ideal if you need a speech-to-text solution for languages other than Vietnamese, or if you don't have access to powerful GPUs (50GB+ vRAM) for model training.
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Language
Python
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Apache-2.0
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Last pushed
Mar 11, 2025
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