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Headlines · 6
- Humans Edge Speech Models on Cocktail-Party Audio Benchmark
A project by cloud_kj tested whether identifying one target voice amid background speech could distinguish humans from speech models. Across 40 synthetic clips and 146 human transcriptions from 18 sessions, humans averaged 0.71 word accuracy, compared with 0.54 for instructed Gemini 3.8 Flash and 0.55 for Qwen3-ASR 0.6B; the corresponding pass rates were 77% and 55%. The author concluded that the human-model gap was too narrow for the setup to work reliably as an audio CAPTCHA.
r/MachineLearning · 🔥 0 - Hob launches open-source desktop AI for local model workflows
Creator Christian announced Hob, a free MIT-licensed desktop app for Mac, Windows and Linux that runs open-weight models locally and can work with local files. The app reportedly selects a model based on installed hardware and supports sandboxed Python, web search powered by SearXNG, MCP connectors, image recognition and filesystem operations; its privacy, sandboxing and model-selection behavior has not been independently verified.
Hacker News 首页（100+ 分） · 🔥 0 - Reddit user reports direct audio understanding in ChatGPT web
A Reddit user reported that ChatGPT on the web correctly identified an uploaded test beep as a steady, high-pitched electronic tone without executing code. The user also said ChatGPT analyzed an uploaded Russian emo-rap track using Python and soundfile, without Whisper or ASR, and accurately described its hook, instruments, structure and lyrical subject matter. The user could not reproduce audio input through the API or Codex and noted that the web tool sometimes returned an unsupported-audio message.
r/OpenAI · 🔥 0 - Reddit user benchmarks MOSS-Transcribe-Diarize 0.9B on a MacBook
A Reddit user in r/LocalLLaMA ran MOSS-Transcribe-Diarize 0.9B on a 17:29 four-speaker AMI test meeting using the model's README transformers code in fp32 with sdpa attention, greedy decoding, no hotwords and no VAD, on an M5 Pro MacBook Pro with 64 GB via MPS. The user reports the run took 714 seconds for the 1,049-second file, about 0.68x real time, and found all four speakers; with a 0.25-second collar and best speaker mapping, speaker confusion was 0.08% and overall DER was 15.4%. The author notes this is one meeting scored on who and when, and asks for pyannote 3.1 plus Whisper comparisons on Apple silicon.
r/LocalLLaMA · 🔥 0 - Voice-Pro 4.0 hits GitHub Trending with uv installer and Fun-CosyVoice3
Voice-Pro is an open-source Gradio web app from Korean startup ABUS that combines YouTube downloading, Demucs vocal isolation, Whisper-family speech recognition, translation into 100-plus languages, and text-to-speech with zero-shot voice cloning via Edge-TTS, Kokoro, F5-TTS, E2-TTS and CosyVoice. Its version 4.0 notes describe moving the installer from Miniconda/pip to uv with a committed lockfile for reproducible installs, upgrading the runtime to Python 3.12, Torch 2.8.0+cu128 with RTX 50-series support and Gradio 6.20, adding an optional Fun-CosyVoice3-0.5B model covering nine languages including Korean, and dropping whisperX because of dependency pins. The maintainers state that development and updates are paused for now due to WeConnect work and that all code is open source and free to redistribute; the project markets itself as a robust alternative to ElevenLabs, a vendor claim.
GitHub Trending · Python · 🔥 0 - ECHO Horror Game Built with AI Coding Agents
ECHO’s creator says GPT and Claude acted as coding agents that wrote and fixed the game’s code, which now contains about 15,000 lines of JavaScript and runs in browsers using WebGL or WebGPU. The creator also says Claude Code produced the trailer in one session, including headless shot rendering, an offline audio mix, Python motion graphics, Qwen3-TTS voice checks, thumbnails, and subtitles.
r/OpenAI · 🔥 0
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