WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
$ npx skills add m-bain/whisperXAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
$ npx skills add m-bain/whisperXA text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
$ npx skills add Blaizzy/mlx-audioPort of OpenAI's Whisper model in C/C++
$ npx skills add ggml-org/whisper.cppEasy-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/PaddleSpeechOffline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
$ npx skills add alphacep/vosk-apiA PyTorch-based Speech Toolkit
$ npx skills add speechbrain/speechbrainOpenVINO™ is an open source toolkit for optimizing and deploying AI inference
$ npx skills add openvinotoolkit/openvinoSpeech recognition module for Python, supporting several engines and APIs, online and offline.
$ npx skills add Uberi/speech_recognitionEnd-to-End Speech Processing Toolkit
$ npx skills add espnet/espnetMultilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.
$ npx skills add FunAudioLLM/SenseVoiceThe open-source ElevenLabs alternative for local voice cloning, design, create, dubbing and dictation Desktop App
$ npx skills add debpalash/OmniVoice-StudioVoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
$ npx skills add OpenBMB/VoxCPMLightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
$ npx skills add supertone-inc/supertonicUnsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
$ npx skills add unslothai/unsloth1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
$ npx skills add RVC-Boss/GPT-SoVITSTranslate the video from one language to another and embed dubbing & subtitles.
$ npx skills add jianchang512/pyvideotransHow 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 Java Speech API 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.
Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
$ npx skills add m-bain/whisperXA text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
$ npx skills add Blaizzy/mlx-audioPort of OpenAI's Whisper model in C/C++
$ npx skills add ggml-org/whisper.cppEasy-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/PaddleSpeechOffline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
$ npx skills add alphacep/vosk-apiA PyTorch-based Speech Toolkit
$ npx skills add speechbrain/speechbrainOpenVINO™ is an open source toolkit for optimizing and deploying AI inference
$ npx skills add openvinotoolkit/openvinoSpeech recognition module for Python, supporting several engines and APIs, online and offline.
$ npx skills add Uberi/speech_recognitionEnd-to-End Speech Processing Toolkit
$ npx skills add espnet/espnetMultilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.
$ npx skills add FunAudioLLM/SenseVoiceThe open-source ElevenLabs alternative for local voice cloning, design, create, dubbing and dictation Desktop App
$ npx skills add debpalash/OmniVoice-StudioVoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
$ npx skills add OpenBMB/VoxCPMLightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
$ npx skills add supertone-inc/supertonicUnsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
$ npx skills add unslothai/unsloth1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
$ npx skills add RVC-Boss/GPT-SoVITSTranslate the video from one language to another and embed dubbing & subtitles.
$ npx skills add jianchang512/pyvideotransHow 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 Java Speech API 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.