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Top 23 Python Asr Projects
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Yes it's still relevant but I prefer WhisperX for some tasks: https://github.com/m-bain/whisperX
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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NeMo
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
NVIDIA NeMo To perform speaker diarization using NVIDIA NeMo , follow these steps:
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PaddleSpeech
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
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Simple Diarizer Simple Diarizer is a speaker diarization library that utilizes pretrained models from SpeechBrain . To get started with simple_diarizer, follow these steps:
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Project mention: Omni SenseVoice: High-Speed Speech Recognition with Words Timestamps | news.ycombinator.com | 2024-10-12
I mean they make a bold statement up top just to paddle back a little bit further down with: "[…] In terms of Chinese and Cantonese recognition, the SenseVoice-Small model has advantages."
It feels dishonest to me.
[0] https://github.com/FunAudioLLM/SenseVoice?tab=readme-ov-file...
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nexa-sdk
Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR), and text-to-speech (TTS) capabilities.
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SaaSHub
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youtube-transcript-api
This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headless browser, like other selenium based solutions do!
First, I had to get the data. I thought this would be a good place to use Google Cloud API which can extract Youtube transcripts. But while setting up this service, I realized there was an even easier way; by extracting the auto-generated captions from YouTube. (Thankyou _jdepoix _for the library to do so, https://github.com/jdepoix/youtube-transcript-api).
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whisper-timestamped
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
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whisper-standalone-win
Whisper & Faster-Whisper standalone executables for those who don't want to bother with Python.
On Windows I use whisper-standalone-win: https://github.com/Purfview/whisper-standalone-win
It has a few customization features that are nice: https://github.com/Purfview/whisper-standalone-win/discussio...
Works miles better than plain faster-whisper, in my experience. Not sure if there's wildcard support but that's easily scripted.
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StreamSpeech
StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.
Has anyone had any luck with an offline, free, open-source real-time speech-to-speech translation app on under-powered devices (i.e., older smart phones)?
* https://github.com/ictnlp/StreamSpeech
* https://github.com/k2-fsa/sherpa-onnx
* https://github.com/openai/whisper
I'm looking for a simple app that can listen for English, translate into Korean (and other languages), then perform speech synthesis on the translation. Basically, a Babelfish that doesn't stick in the ear. Although real-time would be great, a 3- to 5-second delay is manageable.
RTranslator is awkward (couldn't get it to perform speech-to-speech using a single phone). 3PO sprouts errors like dandelions and requires an online connection.
Any suggestions?
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whisper.api
This project provides an API with user level access support to transcribe speech to text using a finetuned and processed Whisper ASR model.
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CrisperWhisper
Verbatim Automatic Speech Recognition with improved word-level timestamps and filler detection
Project mention: CrisperWhisper: Automatic Speech Recognition with improved word-level timestamps | news.ycombinator.com | 2024-11-22 -
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AutoSub
A CLI script to generate subtitle files (SRT/VTT/TXT) for any video using either DeepSpeech or Coqui (by abhirooptalasila)
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For those interested in exploring or extracting YouTube transcripts for their own projects, tools like Transcriptly and Rev.com offer additional functionality, such as downloading, editing, and translating captions.
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SaaSHub
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python Asr discussion
Python Asr related posts
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The Technology Behind YouTube’s Auto-Captioning System
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Show HN: Mikey – No bot meeting notetaker for Windows
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Ask HN: Is Whisper Still Relevant?
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Transcriber AI – Free, end-to-end machine based transcription with speaker id
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Supercharge Your AI Skills: 5 Open Source Repositories You Can't Afford to Miss
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Benchmark GGUF models with a one line of code
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Benchmark GGUF models with a ONE line of code
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A note from our sponsor - SaaSHub
www.saashub.com | 14 May 2025
Index
What are some of the best open-source Asr projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | whisperX | 15,599 |
| 2 | NeMo | 14,217 |
| 3 | PaddleSpeech | 11,875 |
| 4 | speechbrain | 9,808 |
| 5 | SenseVoice | 5,578 |
| 6 | nexa-sdk | 4,534 |
| 7 | wenet | 4,490 |
| 8 | youtube-transcript-api | 3,876 |
| 9 | lingvo | 2,838 |
| 10 | whisper-asr-webservice | 2,579 |
| 11 | whisper-timestamped | 2,393 |
| 12 | whisper-standalone-win | 2,040 |
| 13 | SincNet | 1,171 |
| 14 | StreamSpeech | 1,071 |
| 15 | vosk-server | 1,042 |
| 16 | pykaldi | 1,015 |
| 17 | whisper.api | 880 |
| 18 | CrisperWhisper | 696 |
| 19 | cheetah | 622 |
| 20 | AutoSub | 595 |
| 21 | pyannote-whisper | 586 |
| 22 | leopard | 455 |
| 23 | reverb | 402 |
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