Inference Characteristics of Streaming Speech Recognition
Efficient NLP
@efficientnlpAbout
Efficient NLP My name is Bai Li, I'm a machine learning engineer and PhD in natural language processing. Reach me at: Email: [email protected] LinkedIn: https://www.linkedin.com/in/libai/
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Video Description
Try Voice Writer - speak your thoughts and let AI handle the grammar: https://voicewriter.io Deploying streaming speech recognition (ASR) is quite different from serving an LLM. In this video, I break down the unique challenges, architecture, and surprising behaviors of Kyutai’s Moshi streaming ASR model and its Rust inference server: GPU/CPU memory patterns and the economics of streaming vs. batch ASR. Kyutai STT offline in browser: https://github.com/lucky-bai/wasm-speech-streaming 0:00 - Introduction 1:50 - Kyutai Moshi architecture 4:03 - Short quiz 4:45 - CPU and GPU memory experiments 6:08 - Streaming inference server 8:56 - Cost calculation 10:10 - Differences vs LLM inference
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