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Introducing MLX-Audio Studio 🚀 An open-source UI for audio gen. This new UI will allow you to easily generate and transcribe audio locally using MLX-Audio, Transformers or any other backend you prefer (i.e. OpenAI). We will be adding more tasks soon, stay tuned! Get started on our GH:

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Prince Canuma

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51,071 görüntüleme • 10 ay önce •via X (Twitter)

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Sam-Audio by AI at Meta is now on MLX-Audio 🔊 You can now isolate voices or sounds from any audio locally in your Mac. I added this simple UI to the MLX-Audio studio app to help you get started Note: - The release is coming soon for now please install from source. - Vision part was excluded for now. Let me know if you need it. - PR for UI:
1:38

Sam-Audio by AI at Meta is now on MLX-Audio 🔊 You can now isolate voices or sounds from any audio locally in your Mac. I added this simple UI to the MLX-Audio studio app to help you get started Note: - The release is coming soon for now please install from source. - Vision part was excluded for now. Let me know if you need it. - PR for UI:

Prince Canuma

19,027 görüntüleme • 8 ay önce

Day 1 of 3 MLX Releases: Introducing MLX-Audio 🚀🔥 A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon. Features ⚡️Fast inference on Apple Silicon (M series chips) 🤖Multiple language support 🗣️Voice customization options 🚀Quantization support for optimized performance Supported models: 🪶Kokoro - A multilingual TTS model with 82M params that supports various languages and voice styles. With more models coming soon. Get started: > pip install mlx-audio Please leave us a star and send a PR :)
4:07

Day 1 of 3 MLX Releases: Introducing MLX-Audio 🚀🔥 A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon. Features ⚡️Fast inference on Apple Silicon (M series chips) 🤖Multiple language support 🗣️Voice customization options 🚀Quantization support for optimized performance Supported models: 🪶Kokoro - A multilingual TTS model with 82M params that supports various languages and voice styles. With more models coming soon. Get started: > pip install mlx-audio Please leave us a star and send a PR :)

Prince Canuma

123,553 görüntüleme • 1 yıl önce

So you can clone any voice 100% locally using this new open source model?! Alibaba has released Qwen3-TTS on Hugging Face. You can easily: - Create custom voices - Clone any voice from a VERY short audio - Generate speech with style instructions Only 0.6B & 1.8B! Sound on🔊
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So you can clone any voice 100% locally using this new open source model?! Alibaba has released Qwen3-TTS on Hugging Face. You can easily: - Create custom voices - Clone any voice from a VERY short audio - Generate speech with style instructions Only 0.6B & 1.8B! Sound on🔊

Paul Couvert

149,398 görüntüleme • 7 ay önce

Day 1 of 3 days of MLX: Introducing MLX-Audio-Swift SDK 🚀 A modular Swift SDK for voice agents and tasks on Apple Silicon built by Lucas Newman and yours truly. iOS, macOS, and visionOS developers can now build native apps with real-time, on-device audio intelligence: 🗣️ Text-to-Speech (TTS) 👂 Speech-to-Text (STT) 🔄 Speech-to-Speech (STS) 🎙️ Voice Activity Detection (VAD) and more. Only import the capabilities you need, nothing extra. Get started today and leave us a star ⭐️
4:29

Day 1 of 3 days of MLX: Introducing MLX-Audio-Swift SDK 🚀 A modular Swift SDK for voice agents and tasks on Apple Silicon built by Lucas Newman and yours truly. iOS, macOS, and visionOS developers can now build native apps with real-time, on-device audio intelligence: 🗣️ Text-to-Speech (TTS) 👂 Speech-to-Text (STT) 🔄 Speech-to-Speech (STS) 🎙️ Voice Activity Detection (VAD) and more. Only import the capabilities you need, nothing extra. Get started today and leave us a star ⭐️

Prince Canuma

163,831 görüntüleme • 6 ay önce

Introducing Audio Native. Our embeddable audio player that automatically narrates your blog or news site. Head to to customize your player. Check out for CMS platform integration guides. Your readers (and soon to be listeners) will thank you.
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Introducing Audio Native. Our embeddable audio player that automatically narrates your blog or news site. Head to to customize your player. Check out for CMS platform integration guides. Your readers (and soon to be listeners) will thank you.

ElevenLabs

164,795 görüntüleme • 2 yıl önce

BREAKING 🚨: NotebookLM will be getting a new updated UI with 3 separate sections for Sources, Chat and Notes & Audio Overview 👀 This also comes with an "Interactive Audio Beta" where users will be able to interact with hosts in realtime 🤯
0:47

BREAKING 🚨: NotebookLM will be getting a new updated UI with 3 separate sections for Sources, Chat and Notes & Audio Overview 👀 This also comes with an "Interactive Audio Beta" where users will be able to interact with hosts in realtime 🤯

🚨 AI News | TestingCatalog

96,129 görüntüleme • 1 yıl önce

Congratulations to the Cohere team on the release of Cohere Transcribe Arabic! 🎉 Runs natively on mlx-audio (Python + Swift) from day-0 🚀 What's inside: → 2B params, Conformer encoder-decoder (audio-in, text-out) → Large Conformer encoder for acoustic representations + lightweight Transformer decoder for token generation → Built for Arabic dialects and Arabic-English code-switching → Auto-resampling to 16kHz + stereo→mono handling built into preprocessing → Apache 2.0 — fully open for community research Currently topping the Open Universal Arabic ASR Leaderboard 🥇 Get started today: 🐍 Python uv pip install -U mlx-audio 🍎 Swift
1:02

Congratulations to the Cohere team on the release of Cohere Transcribe Arabic! 🎉 Runs natively on mlx-audio (Python + Swift) from day-0 🚀 What's inside: → 2B params, Conformer encoder-decoder (audio-in, text-out) → Large Conformer encoder for acoustic representations + lightweight Transformer decoder for token generation → Built for Arabic dialects and Arabic-English code-switching → Auto-resampling to 16kHz + stereo→mono handling built into preprocessing → Apache 2.0 — fully open for community research Currently topping the Open Universal Arabic ASR Leaderboard 🥇 Get started today: 🐍 Python uv pip install -U mlx-audio 🍎 Swift

Prince Canuma

16,680 görüntüleme • 2 ay önce

🗓️ Release Week Recap Big week. mlx-audio and mlx-vlm are now among some of the fastest-growing OSS projects. Here’s what we shipped last week. Gemma 4 on Apple Silicon Two awesome releases by our partner Google DeepMind & Google Gemma : > Gemma 4 12B — their new dense, unified multimodal model. It uses an encoder free audio path and simplified vision encoder. > Gemma 4 QAT — quantization-aware training checkpoints, optimized to run locally on consumer GPUs and edge devices, compressing the model while preserving the quality you expect from Gemma 4. On the audio 🎧 side we added support for 15+ new TTS, ASR & VAD models, faster long-form transcription, and an expanded OpenAI-compatible audio server. All local on Apple Silicon. Huge thanks to every contributor and my co-maintainer Lucas Newman. 🙏🏽
1:34

🗓️ Release Week Recap Big week. mlx-audio and mlx-vlm are now among some of the fastest-growing OSS projects. Here’s what we shipped last week. Gemma 4 on Apple Silicon Two awesome releases by our partner Google DeepMind & Google Gemma : > Gemma 4 12B — their new dense, unified multimodal model. It uses an encoder free audio path and simplified vision encoder. > Gemma 4 QAT — quantization-aware training checkpoints, optimized to run locally on consumer GPUs and edge devices, compressing the model while preserving the quality you expect from Gemma 4. On the audio 🎧 side we added support for 15+ new TTS, ASR & VAD models, faster long-form transcription, and an expanded OpenAI-compatible audio server. All local on Apple Silicon. Huge thanks to every contributor and my co-maintainer Lucas Newman. 🙏🏽

Prince Canuma

11,810 görüntüleme • 3 ay önce

First, we are excited to share a number of new updates to our frontier video generation model, Gen-4.5 Soon you will be able to both generate and edit native audio with Gen-4.5 and edit video at arbitrary lengths with multi-shot editing.
2:10

First, we are excited to share a number of new updates to our frontier video generation model, Gen-4.5 Soon you will be able to both generate and edit native audio with Gen-4.5 and edit video at arbitrary lengths with multi-shot editing.

Runway

33,513 görüntüleme • 9 ay önce

Introducing our ✨ brand new ✨ Studio UI. Rolling out today, you can: 🎙️ Create multiple outputs from the same sources (including AOs in different languages) 🎧 Listen to audio overviews while using other features (chat, FAQ, etc) 📄 Select sources when creating outputs
0:33

Introducing our ✨ brand new ✨ Studio UI. Rolling out today, you can: 🎙️ Create multiple outputs from the same sources (including AOs in different languages) 🎧 Listen to audio overviews while using other features (chat, FAQ, etc) 📄 Select sources when creating outputs

Gemini Notebook

155,258 görüntüleme • 1 yıl önce

🤗 MOSS-Transcribe-Diarize-0.9B is now open source on Hugging Face. Built with an end-to-end audio-to-structured-transcript paradigm: >0.9B open-source ASR model >Apache license 2.0 >128k long-context transcription >Up to ~90-min audio input >Speaker labels + timestamps in one generation >Multi-speaker diarization for meetings, interruptions, and overlapping voices >Hotword biasing for names, terms, and domain-specific vocabulary >~100 token/s on NVIDIA RTX 4090, RTF ~0.017 Thank you SGLang vLLM Prince Canuma Lucas Newman for day-0 support! 🚀 Github: Huggingface: API: Live demo: Technical Report： HF Space: AtomGit： SGLang-Omni: vLLM: MLX-audio: Discord:
1:17

🤗 MOSS-Transcribe-Diarize-0.9B is now open source on Hugging Face. Built with an end-to-end audio-to-structured-transcript paradigm: >0.9B open-source ASR model >Apache license 2.0 >128k long-context transcription >Up to ~90-min audio input >Speaker labels + timestamps in one generation >Multi-speaker diarization for meetings, interruptions, and overlapping voices >Hotword biasing for names, terms, and domain-specific vocabulary >~100 token/s on NVIDIA RTX 4090, RTF ~0.017 Thank you SGLang vLLM Prince Canuma Lucas Newman for day-0 support! 🚀 Github: Huggingface: API: Live demo: Technical Report： HF Space: AtomGit： SGLang-Omni: vLLM: MLX-audio: Discord:

MOSI

156,308 görüntüleme • 2 ay önce

You've been asking for more mobile updates. There's more to come, but as of today we are officially unveiling our ✨new studio design✨. This will allow you to make multiple audio overviews per notebook, including different languages, lengths, customizations, and more!
0:34

You've been asking for more mobile updates. There's more to come, but as of today we are officially unveiling our ✨new studio design✨. This will allow you to make multiple audio overviews per notebook, including different languages, lengths, customizations, and more!

Gemini Notebook

107,843 görüntüleme • 11 ay önce

Introducing Jams 🕺 🎶 Curated audio snippets from your favorite songs that play for everyone when you emote. Add a Jam to any emote or use our recommendations for the perfect sync. Bundled Emotes + synced Jams are dropping soon, stay tuned! 💫
0:37

Introducing Jams 🕺 🎶 Curated audio snippets from your favorite songs that play for everyone when you emote. Add a Jam to any emote or use our recommendations for the perfect sync. Bundled Emotes + synced Jams are dropping soon, stay tuned! 💫

Lunar Client

294,737 görüntüleme • 1 yıl önce

Introducing Marvis-TTS 🔥🚀 A new local-first TTS model Lucas Newman and I built for efficiency, accessibility, and real-time performance right on consumer devices like Apple Silicon, iPhones, iPads, and more. Traditional TTS models often demand full text inputs or sacrifice real-time capabilities, Marvis flips the script. It streams audio chunks as text is processed, creating a truly conversational experience. No more awkward pauses or unnatural breaks—Marvis handles the entire text context intelligently to deliver coherent, expressive speech. Get started today: > pip install -U mlx-audio
3:57

Introducing Marvis-TTS 🔥🚀 A new local-first TTS model Lucas Newman and I built for efficiency, accessibility, and real-time performance right on consumer devices like Apple Silicon, iPhones, iPads, and more. Traditional TTS models often demand full text inputs or sacrifice real-time capabilities, Marvis flips the script. It streams audio chunks as text is processed, creating a truly conversational experience. No more awkward pauses or unnatural breaks—Marvis handles the entire text context intelligently to deliver coherent, expressive speech. Get started today: > pip install -U mlx-audio

Prince Canuma

81,404 görüntüleme • 1 yıl önce

In this week’s Stability Seconds, we’re showing you how to generate custom, commercially safe audio for your next video project with Stable Audio 2.5 🎵 Here’s how you can do it: ▶️ Find a short video clip that you want to add sound to. ▶️ Prompt Stable Audio 2.5 for genre, overall mood, and instruments that match your video. In our prompt, we used terms like “cinematic,” “awe-inspiring,” and “dramatic horn section.” ▶️ Generate a 3-minute track, then scrub through to find the best cut. ▶️ Add that audio to your clip to create a polished soundtrack. You can learn more and start using Stable Audio 2.5 here 👉
1:24

In this week’s Stability Seconds, we’re showing you how to generate custom, commercially safe audio for your next video project with Stable Audio 2.5 🎵 Here’s how you can do it: ▶️ Find a short video clip that you want to add sound to. ▶️ Prompt Stable Audio 2.5 for genre, overall mood, and instruments that match your video. In our prompt, we used terms like “cinematic,” “awe-inspiring,” and “dramatic horn section.” ▶️ Generate a 3-minute track, then scrub through to find the best cut. ▶️ Add that audio to your clip to create a polished soundtrack. You can learn more and start using Stable Audio 2.5 here 👉

Stability AI

12,679 görüntüleme • 11 ay önce

OSINT Tool: Extract Sounds from Audio Files 🎵🔍 Most audio tools just let you play or cut files. Finding a specific sound inside a long recording can be tedious. AudioGhost AI changes that. It uses a memory-optimized SAM-Audio model to extract specific sounds from audio files using text queries. You can: 🎯 Search for particular sounds in any audio 🖥️ Use a modern, user-friendly interface 💾 Work efficiently even with large files This is perfect for investigations, research, or any project where audio analysis matters. 🔗 Website link: __________ P.S. ♻️ Repost if you found this helpful. If you liked this post and would like to learn more methods and techniques to discover information about people, check out my OSINT Mastery course
0:41

OSINT Tool: Extract Sounds from Audio Files 🎵🔍 Most audio tools just let you play or cut files. Finding a specific sound inside a long recording can be tedious. AudioGhost AI changes that. It uses a memory-optimized SAM-Audio model to extract specific sounds from audio files using text queries. You can: 🎯 Search for particular sounds in any audio 🖥️ Use a modern, user-friendly interface 💾 Work efficiently even with large files This is perfect for investigations, research, or any project where audio analysis matters. 🔗 Website link: __________ P.S. ♻️ Repost if you found this helpful. If you liked this post and would like to learn more methods and techniques to discover information about people, check out my OSINT Mastery course

CyberSudo

16,674 görüntüleme • 7 ay önce

finetuning LLMs will never be the same! Unsloth just launched an open-source web UI to run and fine-tune 500+ LLMs without writing any code. key features - run models locally on Mac, Windows, Linux - train 500+ models 2x faster with 70% less VRAM - supports GGUF, vision, audio, embedding models - auto-create datasets from PDF, CSV, DOCX - self-healing tool calling and code execution - compare models side by side + export to GGUF to get started, I've shared links in the next tweet.
0:38

finetuning LLMs will never be the same! Unsloth just launched an open-source web UI to run and fine-tune 500+ LLMs without writing any code. key features - run models locally on Mac, Windows, Linux - train 500+ models 2x faster with 70% less VRAM - supports GGUF, vision, audio, embedding models - auto-create datasets from PDF, CSV, DOCX - self-healing tool calling and code execution - compare models side by side + export to GGUF to get started, I've shared links in the next tweet.

Akshay 🚀

45,225 görüntüleme • 5 ay önce

You can now vibecode your own WisprFlow or Monologue alternative that runs completely locally on Apple Silicon using MLX-Audio-Swift 🔥 Check out this live transcription of Dwarkesh Patel interview with Andrej Karpathy using Qwen3-ASR-0.6B quantized to 4bit on a M3 Max. It also runs in realtime on a iPhone 15 Pro and iPad Pro M1. No cloud. No API keys.
0:21

You can now vibecode your own WisprFlow or Monologue alternative that runs completely locally on Apple Silicon using MLX-Audio-Swift 🔥 Check out this live transcription of Dwarkesh Patel interview with Andrej Karpathy using Qwen3-ASR-0.6B quantized to 4bit on a M3 Max. It also runs in realtime on a iPhone 15 Pro and iPad Pro M1. No cloud. No API keys.

Prince Canuma

60,974 görüntüleme • 6 ay önce