Const-me/WhisperGitHub
calls GPA “Tiny multi-purpose audio model that also does ASR; choose it when model size matters above all.”
High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
10.6kC++active
AutoArk/GPA Alternatives
GPA is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
Listed as an alternative to
These projects were analysed and named GPA among their alternatives. The relationship is not symmetric — how GPA rates them is a separate judgement, made when GPA is analysed in its own right.
QwenAudio/SenseVoiceGitHub
calls GPA “a tiny multi-task audio model (ASR/TTS/VC); choose for extremely compact deployments, yet a different output set.”
Open-source SenseVoiceSmall model for Mandarin, Cantonese, English, Japanese, and Korean ASR, language ID, emotion recognition, and audio event detection.
9.2kCactive
microsoft/VibeVoiceGitHub
calls GPA “use it for extremely small multi-task audio (ASR/TTS/VC) on edge; capacity/accuracy below frontier ASR”
Open-Source Frontier Voice AI
53.1kPythonactive
NVIDIA-NeMo/SpeechGitHub
calls GPA “choose for a tiny all-in-one ASR/TTS/voice-conversion model when compute is very limited.”
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)
18.3kPythonactive