Port of OpenAI's Whisper model in C/C++
$ npx skills add ggml-org/whisper.cppAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Facebook AI Research's Automatic Speech Recognition Toolkit
Port of OpenAI's Whisper model in C/C++
$ npx skills add ggml-org/whisper.cppEnd-to-End Speech Processing Toolkit
$ npx skills add espnet/espnetOpenVINO™ is an open source toolkit for optimizing and deploying AI inference
$ npx skills add openvinotoolkit/openvinoReact Native binding of whisper.cpp.
$ npx skills add mybigday/whisper.rnWhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
$ npx skills add m-bain/whisperXOffline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
$ npx skills add alphacep/vosk-apiFaster Whisper transcription with CTranslate2
$ npx skills add SYSTRAN/faster-whisperA PyTorch-based Speech Toolkit
$ npx skills add speechbrain/speechbrainJAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
$ npx skills add sanchit-gandhi/whisper-jaxSpeech recognition module for Python, supporting several engines and APIs, online and offline.
$ npx skills add Uberi/speech_recognitionReal-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, LicheePi4A etc.
$ npx skills add k2-fsa/sherpa-ncnn💬 Speech recognition for your site
$ npx skills add TalAter/annyangEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
$ npx skills add zzw922cn/Automatic_Speech_RecognitionAutomatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
$ npx skills add MahmoudAshraf97/whisper-diarizationSpeech-to-text server framework with next-gen Kaldi
$ npx skills add k2-fsa/sherpaA small speech recognizer
$ npx skills add cmusphinx/pocketsphinxHow 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 Wav2letter if it already passes your workflow test and repository review.
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