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Introducing Fish Speech 1.5 🎉 - Making state-of-the-art TTS accessible to everyone! Highlights: - #2 ranked on TTS-Arena (as "Anonymous Sparkle") - 1M hours of multilingual training data - 13 languages supported, including English, Chinese, Japanese & more - <150ms latency with high-quality instant voice cloning - Pretrained model...

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Fish Audio

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101,606 görüntüleme • 1 yıl önce •via X (Twitter)

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Try Fish Speech 1.5: 🎮 Playground: 💻 Code: 🎯 Demo: 🏆 See our rank: Let's revolutionize voice tech together! 🐠

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Example: News

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Example: Story Telling

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Example: Cross-Lingual

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A heartfelt thank you to our exceptional team for achieving this breakthrough in open-source TTS technology. Join us: We're seeking distinguished sales professionals and engineers. Contact [email protected] to shape the future of voice technology.

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Alex Volkov (Thursd/AI)1 yıl önce

Congrats on this release! Will cover tomorrow on @thursdai_pod !

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Stas Bichenko1 yıl önce

Self-hosted - only for non-commercial use, right?

Yossi Dahan profil fotoğrafı
Yossi Dahan1 yıl önce

Where can I find a list of supported languages?

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GenAI Alien1 yıl önce

Let’s go! Fire 🔥! Love it!

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Roman1 yıl önce

Looks great! May you add other languages (like french) in the online demo and samples? Thanks !

Benzer Videolar

Excited to introduce Fish Speech 1.4 - now open-source and more powerful than ever! 🎉 Our mission is to make cutting-edge voice tech accessible to everyone. What's new: - Trained on 700k hours of multilingual data (up from 200k) - Now supports 8 languages: English, Chinese, German, Japanese, French, Spanish, Korean, and Arabic - Fully open-source, empowering developers and researchers worldwide Key features: - Lightning-fast TTS with ultra-low latency - Instant voice cloning - Self-host or use our cloud service - Simple, flat-rate pricing Try it out: - Playground: - GitHub: - HuggingFace Model: - Demo: - Product Hunt: We can't wait to see what you'll create with Fish Audio. Happy voice building! 🎧🐠
1:23

Excited to introduce Fish Speech 1.4 - now open-source and more powerful than ever! 🎉 Our mission is to make cutting-edge voice tech accessible to everyone. What's new: - Trained on 700k hours of multilingual data (up from 200k) - Now supports 8 languages: English, Chinese, German, Japanese, French, Spanish, Korean, and Arabic - Fully open-source, empowering developers and researchers worldwide Key features: - Lightning-fast TTS with ultra-low latency - Instant voice cloning - Self-host or use our cloud service - Simple, flat-rate pricing Try it out: - Playground: - GitHub: - HuggingFace Model: - Demo: - Product Hunt: We can't wait to see what you'll create with Fish Audio. Happy voice building! 🎧🐠

Fish Audio

149,685 görüntüleme • 1 yıl önce

The new open-source Text to Speech model: Fish Speech 1.4 is brilliant! Trained on a massive 700K hours of multilingual speech data in 8 languages - Instant voice cloning 🗣️ - Ultra-low latency ⚡ - Compact model (~1GB weights) 🏋️‍♂️
1:23

The new open-source Text to Speech model: Fish Speech 1.4 is brilliant! Trained on a massive 700K hours of multilingual speech data in 8 languages - Instant voice cloning 🗣️ - Ultra-low latency ⚡ - Compact model (~1GB weights) 🏋️‍♂️

Rohan Paul

228,836 görüntüleme • 1 yıl önce

Today we're releasing ZONOS2, our next-generation real-time TTS model with high-fidelity voice cloning. ZONOS2 is the most expressive open-source TTS model, released under Apache 2.0 and available on Zyphra Cloud on AMD. 🧵
1:30

Today we're releasing ZONOS2, our next-generation real-time TTS model with high-fidelity voice cloning. ZONOS2 is the most expressive open-source TTS model, released under Apache 2.0 and available on Zyphra Cloud on AMD. 🧵

Zyphra

328,905 görüntüleme • 5 gün önce

Introducing Indic Parler-TTS: Open-Source Text-to-Speech for Over a Billion Indic Speakers! 🌏 In collaboration with Hugging Face, we are excited to release Indic Parler-TTS, a state-of-the-art open-source text-to-speech system designed to bring accessible and high-quality speech technology to India’s diverse linguistic community. Supporting 20 of the 22 scheduled Indian languages—and English in various accents (US, British, Indian)—it’s built to serve over a billion speakers and empower companies, developers, researchers, and communities. Why Indic Parler-TTS Stands Out: 1. Open and Accessible: Fully open-source with permissive licensing for unrestricted usage. 2. Wide Language Support: Includes a vast range of Indic languages, with rich diversity in voices. 3. High-Quality Audio: Produces natural, clear, and lifelike speech. 4. Adaptable and Fine-Tunable: Customize it to new languages, accents, or specific applications. 5. State-of-the-Art Performance: Proven through rigorous evaluation. 6. Versatile and Inclusive: Indic Parler-TTS offers 69 unique voices across 18 Indian languages, making it a perfect fit for diverse use cases like audiobooks, virtual assistants, and educational tools. Let's democratize speech technology together and make speech technology more inclusive and accessible for everyone. ▶️ Experience it now: Demo: Model page:
1:06

Introducing Indic Parler-TTS: Open-Source Text-to-Speech for Over a Billion Indic Speakers! 🌏 In collaboration with Hugging Face, we are excited to release Indic Parler-TTS, a state-of-the-art open-source text-to-speech system designed to bring accessible and high-quality speech technology to India’s diverse linguistic community. Supporting 20 of the 22 scheduled Indian languages—and English in various accents (US, British, Indian)—it’s built to serve over a billion speakers and empower companies, developers, researchers, and communities. Why Indic Parler-TTS Stands Out: 1. Open and Accessible: Fully open-source with permissive licensing for unrestricted usage. 2. Wide Language Support: Includes a vast range of Indic languages, with rich diversity in voices. 3. High-Quality Audio: Produces natural, clear, and lifelike speech. 4. Adaptable and Fine-Tunable: Customize it to new languages, accents, or specific applications. 5. State-of-the-Art Performance: Proven through rigorous evaluation. 6. Versatile and Inclusive: Indic Parler-TTS offers 69 unique voices across 18 Indian languages, making it a perfect fit for diverse use cases like audiobooks, virtual assistants, and educational tools. Let's democratize speech technology together and make speech technology more inclusive and accessible for everyone. ▶️ Experience it now: Demo: Model page:

AI4Bharat

28,586 görüntüleme • 1 yıl önce

We’re excited to introduce Pocket TTS: a 100M-parameter text-to-speech model with high-quality voice cloning that runs on your laptop—no GPU required. Open-source, lightweight, and incredibly fast. 🧵👇
1:44

We’re excited to introduce Pocket TTS: a 100M-parameter text-to-speech model with high-quality voice cloning that runs on your laptop—no GPU required. Open-source, lightweight, and incredibly fast. 🧵👇

kyutai

236,030 görüntüleme • 5 ay önce

Fish: Multilingual Voice Cloning Fish is a voice cloning AI model that supports multiple languages out of the box: - English - Japanese - Korean - Chinese - French - German - Arabic - Spanish I wrote a 1-click launcher for Fish gradio app, so you can run it locally. Enjoy.
0:45

Fish: Multilingual Voice Cloning Fish is a voice cloning AI model that supports multiple languages out of the box: - English - Japanese - Korean - Chinese - French - German - Arabic - Spanish I wrote a 1-click launcher for Fish gradio app, so you can run it locally. Enjoy.

cocktail peanut

35,815 görüntüleme • 1 yıl önce

Oh my…FlashLabs releases Chroma 1.0, first open-source real-time speech-to-speech model with personalized voice cloning. Native speech-to-speech with &lt;150ms latency &amp; voice cloning from seconds of audio. Finally, an open alternative to OpenAI Realtime.
1:57

Oh my…FlashLabs releases Chroma 1.0, first open-source real-time speech-to-speech model with personalized voice cloning. Native speech-to-speech with &lt;150ms latency &amp; voice cloning from seconds of audio. Finally, an open alternative to OpenAI Realtime.

Alvaro Cintas

46,151 görüntüleme • 4 ay önce

Today we launch Fish Audio S2, a new generation of expressive TTS with absurdly controllable emotion. - open-source - sub 150ms latency - multi-speaker in one pass Real freedom of speech starts now 👇
0:49

Today we launch Fish Audio S2, a new generation of expressive TTS with absurdly controllable emotion. - open-source - sub 150ms latency - multi-speaker in one pass Real freedom of speech starts now 👇

Fish Audio

2,623,573 görüntüleme • 3 ay önce

Today, we're launching Orpheus Multilingual, a family of open-source models that makes state-of-the-art TTS accessible to billions of new people! 🌎🌎 (1/5)
1:02

Today, we're launching Orpheus Multilingual, a family of open-source models that makes state-of-the-art TTS accessible to billions of new people! 🌎🌎 (1/5)

Elias

76,933 görüntüleme • 1 yıl önce

Pocket TTS goes multilingual! Now you can use our 100M-parameter models to generate speech in six languages, fast enough to run real-time without a GPU. We also improved the quality of the English model while keeping the same size. And all of this is open-source.
0:28

Pocket TTS goes multilingual! Now you can use our 100M-parameter models to generate speech in six languages, fast enough to run real-time without a GPU. We also improved the quality of the English model while keeping the same size. And all of this is open-source.

kyutai

29,136 görüntüleme • 1 ay önce

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0:50

Smol TTS keeps getting better! Introducing OuteTTS v0.2 - 500M parameters, multilingual with voice cloning! 🔥 > Multilingual - English, Chinese, Korean & Japanese > Cross platform inference w/ llama.cpp > Zero-shot voice cloning > Trained on 5 Billion audio tokens > Qwen 2.5 0.5B LLM backbone > Trained via HF GPU grants Model weights on the hub, you can even run this on a Raspberry Pi! Go run, inference now! 🐐

Vaibhav (VB) Srivastav

44,566 görüntüleme • 1 yıl önce

Introducing Open TTS Tracker! 🗣️ *sound on* A one-stop shop to track all open access/ source TTS models! Ranging from XTTS to Pheme, OpenVoice to VITS, and more... ⚡ For each model, we compile: 1. Souce-code 2. Checkpoints 3. License 4. Fine-tuning code 5. Languages supported 6. Paper 7. Demo Help us make it more complete! Let's 2024 the year of open TTS models! ❤️
1:27

Introducing Open TTS Tracker! 🗣️ *sound on* A one-stop shop to track all open access/ source TTS models! Ranging from XTTS to Pheme, OpenVoice to VITS, and more... ⚡ For each model, we compile: 1. Souce-code 2. Checkpoints 3. License 4. Fine-tuning code 5. Languages supported 6. Paper 7. Demo Help us make it more complete! Let's 2024 the year of open TTS models! ❤️

Vaibhav (VB) Srivastav

68,037 görüntüleme • 2 yıl önce

HOLY FUCK! Zyphra just dropped Zonos - Apache 2.0 licensed, Multilingual, Text to Speech model with INSTANT voice cloning! 🔥 > Zero-shot TTS with Voice Cloning: Input text and a 10-30 second speaker sample to generate high-quality text-to-speech output > Audio Prefix Inputs: Enhance speaker matching by adding an audio prefix to the text, enabling behaviors like whispering that are hard to achieve with voice cloning alone > Multilingual Support: Supports English, Japanese, Chinese, French, and German > Audio Quality & Emotion Control: Fine-tune speaking rate, pitch, frequency, audio quality, and emotions (e.g., happiness, anger, sadness, fear) > Fast Performance: Runs at ~2x real-time speed on an RTX 4090 > Available on the Hugging Face Hub 🤗
1:21

HOLY FUCK! Zyphra just dropped Zonos - Apache 2.0 licensed, Multilingual, Text to Speech model with INSTANT voice cloning! 🔥 > Zero-shot TTS with Voice Cloning: Input text and a 10-30 second speaker sample to generate high-quality text-to-speech output > Audio Prefix Inputs: Enhance speaker matching by adding an audio prefix to the text, enabling behaviors like whispering that are hard to achieve with voice cloning alone > Multilingual Support: Supports English, Japanese, Chinese, French, and German > Audio Quality & Emotion Control: Fine-tune speaking rate, pitch, frequency, audio quality, and emotions (e.g., happiness, anger, sadness, fear) > Fast Performance: Runs at ~2x real-time speed on an RTX 4090 > Available on the Hugging Face Hub 🤗

Vaibhav (VB) Srivastav

298,858 görüntüleme • 1 yıl önce

🎙️ Chatterbox is now available on Comfy Cloud! Zero-shot voice cloning, 23 languages, and expressive TTS — all ready to use with no setup. Clone any voice from just 5 seconds of audio. No training required.
0:22

🎙️ Chatterbox is now available on Comfy Cloud! Zero-shot voice cloning, 23 languages, and expressive TTS — all ready to use with no setup. Clone any voice from just 5 seconds of audio. No training required.

ComfyUI

19,942 görüntüleme • 4 ay önce

Introducing Chatterbox Multilingual 🌎 23 languages. One model. Open source. On GitHub , Hugging Face , and Let's dive in 🧵
0:31

Introducing Chatterbox Multilingual 🌎 23 languages. One model. Open source. On GitHub , Hugging Face , and Let's dive in 🧵

Resemble AI

24,082 görüntüleme • 9 ay önce

Awesome! OmniVoice-TTS in ComfyUI. - zero-shot multilingual TTS; - 600+ languages; - voice cloning; - voice design; - multi-speaker dialogues; - supports SageAttention and non-verbal expression tags.
2:12

Awesome! OmniVoice-TTS in ComfyUI. - zero-shot multilingual TTS; - 600+ languages; - voice cloning; - voice design; - multi-speaker dialogues; - supports SageAttention and non-verbal expression tags.

Wildminder

35,799 görüntüleme • 2 ay önce

Introducing Indic-Parler TTS - Trained on 10K hours of data, 938M params, supports 20 Indic languages, emotional synthesis, apache 2.0 licensed! 🔥 A collaboration w/ AI4Bharat & Hugging Face - w/ fully customisable speech and voice personas! Try it out directly below or use the model weights as you want! 🇮🇳/acc
1:06

Introducing Indic-Parler TTS - Trained on 10K hours of data, 938M params, supports 20 Indic languages, emotional synthesis, apache 2.0 licensed! 🔥 A collaboration w/ AI4Bharat & Hugging Face - w/ fully customisable speech and voice personas! Try it out directly below or use the model weights as you want! 🇮🇳/acc

Vaibhav (VB) Srivastav

42,159 görüntüleme • 1 yıl önce

We're releasing Hibiki-Zero, a new real-time and multilingual speech translation model that can translate 🇫🇷French, 🇪🇸Spanish, 🇵🇹Portuguese and 🇩🇪German to English: accurate, low-latency, high audio quality, with voice transfer. And best of all: open-source.
1:04

We're releasing Hibiki-Zero, a new real-time and multilingual speech translation model that can translate 🇫🇷French, 🇪🇸Spanish, 🇵🇹Portuguese and 🇩🇪German to English: accurate, low-latency, high audio quality, with voice transfer. And best of all: open-source.

kyutai

80,638 görüntüleme • 4 ay önce

NEW: Higgs Audio V2 from BosonAI open, unified TTS model w/ voice cloning, beats GPT 4o mini tts and ElevenLabs v2 🔥 > Trained on 10M hours (speech, music, events) > Built on top of Llama 3.2 3B > Works real-time and on edge > Beats GPT-4o-mini-tts, ElevenLabs v2 in prosody & emotion Multi-speaker dialog > Zero-shot voice cloning 🤩 > Available on Hugging Face Kudos to folks at Boson AI for releasing such a brilliant work and all the details around the model! 🤗
2:10

NEW: Higgs Audio V2 from BosonAI open, unified TTS model w/ voice cloning, beats GPT 4o mini tts and ElevenLabs v2 🔥 > Trained on 10M hours (speech, music, events) > Built on top of Llama 3.2 3B > Works real-time and on edge > Beats GPT-4o-mini-tts, ElevenLabs v2 in prosody & emotion Multi-speaker dialog > Zero-shot voice cloning 🤩 > Available on Hugging Face Kudos to folks at Boson AI for releasing such a brilliant work and all the details around the model! 🤗

Vaibhav (VB) Srivastav

79,585 görüntüleme • 10 ay önce

Announcing the new SotA voice-cloning TTS model: 𝗩𝗼𝗶𝗰𝗲𝗦𝘁𝗮𝗿 ⭐️ VoiceStar is - autoregressive, - voice-cloning, - robust, - duration controllable, - *test-time extrapolation*, generates speech longer than training duration! Code&amp;Model:
0:41

Announcing the new SotA voice-cloning TTS model: 𝗩𝗼𝗶𝗰𝗲𝗦𝘁𝗮𝗿 ⭐️ VoiceStar is - autoregressive, - voice-cloning, - robust, - duration controllable, - *test-time extrapolation*, generates speech longer than training duration! Code&amp;Model:

Puyuan Peng

27,872 görüntüleme • 1 yıl önce