Ask HN: Speech to text models, are they usable yet?

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • RealtimeSTT

    A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.

  • I have been using this with a lot of success for a while now: https://github.com/KoljaB/RealtimeSTT/tree/master , it works in real time, without any delays on an old Nvidia card.

    I tried it with German & English without issues. It should also work for French but might need a bit of tweaking. The code is very straightforward, but depending on the context I'd recommend experimenting with the parameters that would suit you.

    It's using a model called "Whisper" under the hood.

    Have fun :)

  • DeepSpeech

    DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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