End-to-end ASR/LM implementation with PyTorch
$ npx skills add hirofumi0810/neural_spAlternatives
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Current skill
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
End-to-end ASR/LM implementation with PyTorch
$ npx skills add hirofumi0810/neural_spConnectionist Temporal Classification (CTC) decoder with dictionary and language model.
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$ npx skills add FireRedTeam/FireRedASR2SThe hub for audio AI research: papers, open models, benchmarks & datasets across audio LLMs, speech recognition, TTS, music & audio generation.
$ npx skills add BinWang28/audio-ai-hubA talking LLM that runs on your own computer without needing the internet.
$ npx skills add vndee/local-talking-llm📦 快速转化「中文数字」和「阿拉伯数字」~ (最新特性:分数,日期、温度等转化)
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$ npx skills add transcriptionstream/transcriptionstreamspeech to text benchmark framework
$ npx skills add Picovoice/speech-to-text-benchmarkFoundational Model for Speech Recognition Tasks
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$ npx skills add kishanrajput23/Jarvis-Desktop-Voice-AssistantHigh-quality and streaming Speech-to-Speech interactive agent in a single file. 只用一个文件实现的流式全双工语音交互原型智能体!
$ npx skills add opendilab/CleanS2SHow 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 CTCDecoder 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.