Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Production First and Production Ready End-to-End Speech Recognition Toolkit
Open-source industrial-grade ASR models supporting Mandarin, Chinese dialects and English, achieving a new SOTA on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability.
$ npx skills add FireRedTeam/FireRedASR[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
$ npx skills add sooftware/conformerEasy-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.
$ npx skills add PaddlePaddle/PaddleSpeechA PyTorch-based Speech Toolkit
$ npx skills add speechbrain/speechbrainPytorch实现的流式与非流式的自动语音识别框架，同时兼容在线和离线识别，目前支持Conformer、Squeezeformer、DeepSpeech2模型，支持多种数据增强方法。
$ npx skills add yeyupiaoling/MASROpenAI Whisper ASR Webservice API
$ npx skills add ahmetoner/whisper-asr-webserviceWhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
$ npx skills add m-bain/whisperXFaster Whisper transcription with CTranslate2
$ npx skills add SYSTRAN/faster-whisperEnd-to-End Speech Processing Toolkit
$ npx skills add espnet/espnetThe open-source ElevenLabs alternative for local voice cloning, design, create, dubbing and dictation Desktop App
$ npx skills add debpalash/OmniVoice-StudioOn-device streaming speech-to-text engine powered by deep learning
$ npx skills add Picovoice/cheetahA SOTA Industrial-Grade All-in-One ASR system with ASR, VAD, LID, and Punc modules. FireRedASR2 supports Chinese (Mandarin, 20+ dialects/accents), English, code-switching, and both speech and singing ASR. FireRedVAD supports speech/singing/music in 100+ langs. FireRedLID supports 100+ langs and 20+ zh dialects. FireRedPunc supports zh and en.
$ npx skills add FireRedTeam/FireRedASR2SLingvo
$ npx skills add tensorflow/lingvoFine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment
$ npx skills add yeyupiaoling/Whisper-Finetune:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
$ npx skills add TensorSpeech/TensorFlowASRPort of OpenAI's Whisper model in C/C++
$ npx skills add ggml-org/whisper.cppHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Wenet if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.