#voxcpm résultats de recherche

🚀 VoxCPM 2 is live! 🎉 Another open-source AI #TTS model from China — and one that stands shoulder to shoulder with Qwen3-TTS, while bringing everything into a single unified model. After rapid iterations from V1 (zero-shot cloning) to V1.5 (long-form + fine-tuning), #VoxCPM has


VoxCPM 2も チェック 基本的に オムニボイスの ほうが 似ていると思うが キャラによっては こっちが 噛み合う場合も あるのかも #voxcpm #whisper


🎉 We ran VoxCPM 2 on #MiniMax’s multilingual benchmark as part of a broader evaluation. Result?👇 🔹 Top-tier SIM across a wide range of languages 🔹 Consistent high performance across 30+ evaluated languages 📎 Full evaluation :github.com/OpenBMB/VoxCPM… #VoxCPM #TTS #AI

OpenBMB's tweet image. 🎉 We ran VoxCPM 2 on #MiniMax’s multilingual benchmark as part of a broader evaluation.
Result?👇
🔹 Top-tier SIM across a wide range of languages  
🔹 Consistent high performance across 30+ evaluated languages
📎 Full evaluation :github.com/OpenBMB/VoxCPM…
#VoxCPM #TTS #AI

🧠 #VoxCPM è un nuovo progetto open source che permette la clonazione della voce in tempo reale. 👉 I dettagli: linkedin.com/posts/alessiop… #AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM

alepom's tweet image. 🧠 #VoxCPM è un nuovo progetto open source che permette la clonazione della voce in tempo reale. 
👉 I dettagli: linkedin.com/posts/alessiop…

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM

ボイスデザインも強い しかもだいぶ自然だわ #VoxCPM


💥 Wanna blow your mind? Try it out. And if you’re hyped about lifelike AI voices and want to stay ahead of the game… SMASH THAT FOLLOW ➡️ for more wild AI drops, geeky updates & memes! #AI #VoxCPM #VoiceAI #MemeMagic


Generative models for speech synthesis face a fundamental trade-off: discrete tokens ensure stability but sacrifice expressivity, while continuous signals retain acoustic richness but suffer from error accumulation due to task entanglement.⚖️ #VoxCPM achieves state-of-the-art

OpenBMB's tweet image. Generative models for speech synthesis face a fundamental trade-off: discrete tokens ensure stability but sacrifice expressivity, while continuous signals retain acoustic richness but suffer from error accumulation due to task entanglement.⚖️

#VoxCPM achieves state-of-the-art
OpenBMB's tweet image. Generative models for speech synthesis face a fundamental trade-off: discrete tokens ensure stability but sacrifice expressivity, while continuous signals retain acoustic richness but suffer from error accumulation due to task entanglement.⚖️

#VoxCPM achieves state-of-the-art
OpenBMB's tweet image. Generative models for speech synthesis face a fundamental trade-off: discrete tokens ensure stability but sacrifice expressivity, while continuous signals retain acoustic richness but suffer from error accumulation due to task entanglement.⚖️

#VoxCPM achieves state-of-the-art

感謝の気持ち 大切ですね やばい TTS は OmniVoice だけじゃない #VoxCPM #ゼロショットクローニング #AI音声


🚀 VoxCPM 2 已正式发布! 🎉 又一款来自中国的开源 AI #TTS 模型 —— 并且已经可以与 Qwen3-TTS 并肩竞争,同时将所有能力整合进一个统一模型中。 从 V1(零样本克隆)到 V1.5(长文本 + 微调)的快速迭代过程中,#VoxCPM 一直在持续推动音质和可用性提升。 现在,VoxCPM 2 更进一步: 🔹 支持 30+

🚀 VoxCPM 2 is live! 🎉 Another open-source AI #TTS model from China — and one that stands shoulder to shoulder with Qwen3-TTS, while bringing everything into a single unified model. After rapid iterations from V1 (zero-shot cloning) to V1.5 (long-form + fine-tuning), #VoxCPM has



人間の声をリアルタイムでクローン オープンソースのテキスト-to-スピーチシステム 文脈を考慮した音声生成:モデルはテキストを理解して適切なプロソディと話し方を推測 説明は自然にゆっくりになり 強調は適切な場所に現れ、質問は質問らしく聞こえます 音声クローニング:3-10秒の参照 #VoxCPM

This is huge!! You can now clone a human voice in real time without tokenization. VoxCPM is an open-source text-to-speech system that models speech in continuous space instead of discrete tokens. Most TTS systems convert speech to discrete tokens before generation. This

Sumanth_077's tweet image. This is huge!!

You can now clone a human voice in real time without tokenization.

VoxCPM is an open-source text-to-speech system that models speech in continuous space instead of discrete tokens.

Most TTS systems convert speech to discrete tokens before generation. This


Most AI voice tools give you 2 options. Clone an existing voice or pick from a list of defaults. VoxCPM2 adds a 3rd option. You describe what you want. A young woman, gentle tone, slow pace. , it generates from scratch #ai #opensource #voxcpm firethering.com/voxcpm2-voice-…


#VoxCPM のローカルアプリを作った(作ってもらった)のでガチャ。 2026/04/17 Fri


📢Giving the 🦞 a soul. Imagine @openclaw executing your tasks, but responding in YOUR own cloned voice via #VoxCPM. 🤯 Calling all #VoxCPM fans: Anyone experimented with this combo yet? Tag us in your videos or screenshots! Drop your demos in the replies below—we’re looking

OpenBMB's tweet image. 📢Giving the 🦞 a soul.

Imagine @openclaw executing your tasks, but responding in YOUR own cloned voice via #VoxCPM. 🤯

Calling all #VoxCPM fans: Anyone experimented with this combo yet? Tag us in your videos or screenshots!

Drop your demos in the replies below—we’re looking

面壁 #VoxCPM 1.5B TTS 模型是极好的,支持输出 44.1kHZ 音频达到商用级别音质; 整体模型架构也参考了字节 DiTAR,也是标准 GPT + FlowMatching/DiT 变体,使用连续 Codec 表征压缩到低至 6.25 Hz demo 体验:huggingface.co/spaces/openbmb… GitHub: github.com/OpenBMB/VoxCPM HF:

FeitengLi's tweet image. 面壁 #VoxCPM 1.5B TTS 模型是极好的,支持输出 44.1kHZ 音频达到商用级别音质;

整体模型架构也参考了字节  DiTAR,也是标准 GPT + FlowMatching/DiT 变体,使用连续 Codec 表征压缩到低至 6.25 Hz

demo 体验:huggingface.co/spaces/openbmb…
GitHub: github.com/OpenBMB/VoxCPM
HF:
FeitengLi's tweet image. 面壁 #VoxCPM 1.5B TTS 模型是极好的,支持输出 44.1kHZ 音频达到商用级别音质;

整体模型架构也参考了字节  DiTAR,也是标准 GPT + FlowMatching/DiT 变体,使用连续 Codec 表征压缩到低至 6.25 Hz

demo 体验:huggingface.co/spaces/openbmb…
GitHub: github.com/OpenBMB/VoxCPM
HF:
FeitengLi's tweet image. 面壁 #VoxCPM 1.5B TTS 模型是极好的,支持输出 44.1kHZ 音频达到商用级别音质;

整体模型架构也参考了字节  DiTAR,也是标准 GPT + FlowMatching/DiT 变体,使用连续 Codec 表征压缩到低至 6.25 Hz

demo 体验:huggingface.co/spaces/openbmb…
GitHub: github.com/OpenBMB/VoxCPM
HF:

🚀 Introducing VoxCPM 1.5! We are taking realistic speech generation to the next level with major upgrades in audio quality and stability. 🎧✨ What's new: 🔊 44.1kHz Hi-Fi Audio: Now supports high-sampling-rate waveform decoding (up from 16kHz). ⚡ High Efficiency: Generates



#VoxCPM のローカルアプリを作った(作ってもらった)のでガチャ。 2026/04/17 Fri


VoxCPM 2も チェック 基本的に オムニボイスの ほうが 似ていると思うが キャラによっては こっちが 噛み合う場合も あるのかも #voxcpm #whisper


Most AI voice tools give you 2 options. Clone an existing voice or pick from a list of defaults. VoxCPM2 adds a 3rd option. You describe what you want. A young woman, gentle tone, slow pace. , it generates from scratch #ai #opensource #voxcpm firethering.com/voxcpm2-voice-…


感謝の気持ち 大切ですね やばい TTS は OmniVoice だけじゃない #VoxCPM #ゼロショットクローニング #AI音声


🎉 We ran VoxCPM 2 on #MiniMax’s multilingual benchmark as part of a broader evaluation. Result?👇 🔹 Top-tier SIM across a wide range of languages 🔹 Consistent high performance across 30+ evaluated languages 📎 Full evaluation :github.com/OpenBMB/VoxCPM… #VoxCPM #TTS #AI

OpenBMB's tweet image. 🎉 We ran VoxCPM 2 on #MiniMax’s multilingual benchmark as part of a broader evaluation.
Result?👇
🔹 Top-tier SIM across a wide range of languages  
🔹 Consistent high performance across 30+ evaluated languages
📎 Full evaluation :github.com/OpenBMB/VoxCPM…
#VoxCPM #TTS #AI

ボイスデザインも強い しかもだいぶ自然だわ #VoxCPM


🚀 VoxCPM 2 已正式发布! 🎉 又一款来自中国的开源 AI #TTS 模型 —— 并且已经可以与 Qwen3-TTS 并肩竞争,同时将所有能力整合进一个统一模型中。 从 V1(零样本克隆)到 V1.5(长文本 + 微调)的快速迭代过程中,#VoxCPM 一直在持续推动音质和可用性提升。 现在,VoxCPM 2 更进一步: 🔹 支持 30+

🚀 VoxCPM 2 is live! 🎉 Another open-source AI #TTS model from China — and one that stands shoulder to shoulder with Qwen3-TTS, while bringing everything into a single unified model. After rapid iterations from V1 (zero-shot cloning) to V1.5 (long-form + fine-tuning), #VoxCPM has



🚀 VoxCPM 2 is live! 🎉 Another open-source AI #TTS model from China — and one that stands shoulder to shoulder with Qwen3-TTS, while bringing everything into a single unified model. After rapid iterations from V1 (zero-shot cloning) to V1.5 (long-form + fine-tuning), #VoxCPM has


Generative models for speech synthesis face a fundamental trade-off: discrete tokens ensure stability but sacrifice expressivity, while continuous signals retain acoustic richness but suffer from error accumulation due to task entanglement.⚖️ #VoxCPM achieves state-of-the-art

OpenBMB's tweet image. Generative models for speech synthesis face a fundamental trade-off: discrete tokens ensure stability but sacrifice expressivity, while continuous signals retain acoustic richness but suffer from error accumulation due to task entanglement.⚖️

#VoxCPM achieves state-of-the-art
OpenBMB's tweet image. Generative models for speech synthesis face a fundamental trade-off: discrete tokens ensure stability but sacrifice expressivity, while continuous signals retain acoustic richness but suffer from error accumulation due to task entanglement.⚖️

#VoxCPM achieves state-of-the-art
OpenBMB's tweet image. Generative models for speech synthesis face a fundamental trade-off: discrete tokens ensure stability but sacrifice expressivity, while continuous signals retain acoustic richness but suffer from error accumulation due to task entanglement.⚖️

#VoxCPM achieves state-of-the-art

📢Giving the 🦞 a soul. Imagine @openclaw executing your tasks, but responding in YOUR own cloned voice via #VoxCPM. 🤯 Calling all #VoxCPM fans: Anyone experimented with this combo yet? Tag us in your videos or screenshots! Drop your demos in the replies below—we’re looking

OpenBMB's tweet image. 📢Giving the 🦞 a soul.

Imagine @openclaw executing your tasks, but responding in YOUR own cloned voice via #VoxCPM. 🤯

Calling all #VoxCPM fans: Anyone experimented with this combo yet? Tag us in your videos or screenshots!

Drop your demos in the replies below—we’re looking

人間の声をリアルタイムでクローン オープンソースのテキスト-to-スピーチシステム 文脈を考慮した音声生成:モデルはテキストを理解して適切なプロソディと話し方を推測 説明は自然にゆっくりになり 強調は適切な場所に現れ、質問は質問らしく聞こえます 音声クローニング:3-10秒の参照 #VoxCPM

This is huge!! You can now clone a human voice in real time without tokenization. VoxCPM is an open-source text-to-speech system that models speech in continuous space instead of discrete tokens. Most TTS systems convert speech to discrete tokens before generation. This

Sumanth_077's tweet image. This is huge!!

You can now clone a human voice in real time without tokenization.

VoxCPM is an open-source text-to-speech system that models speech in continuous space instead of discrete tokens.

Most TTS systems convert speech to discrete tokens before generation. This


🧠 #VoxCPM è un nuovo progetto open source che permette la clonazione della voce in tempo reale. 👉 I dettagli: linkedin.com/posts/alessiop… #AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM

alepom's tweet image. 🧠 #VoxCPM è un nuovo progetto open source che permette la clonazione della voce in tempo reale. 
👉 I dettagli: linkedin.com/posts/alessiop…

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM

面壁 #VoxCPM 1.5B TTS 模型是极好的,支持输出 44.1kHZ 音频达到商用级别音质; 整体模型架构也参考了字节 DiTAR,也是标准 GPT + FlowMatching/DiT 变体,使用连续 Codec 表征压缩到低至 6.25 Hz demo 体验:huggingface.co/spaces/openbmb… GitHub: github.com/OpenBMB/VoxCPM HF:

FeitengLi's tweet image. 面壁 #VoxCPM 1.5B TTS 模型是极好的,支持输出 44.1kHZ 音频达到商用级别音质;

整体模型架构也参考了字节  DiTAR,也是标准 GPT + FlowMatching/DiT 变体,使用连续 Codec 表征压缩到低至 6.25 Hz

demo 体验:huggingface.co/spaces/openbmb…
GitHub: github.com/OpenBMB/VoxCPM
HF:
FeitengLi's tweet image. 面壁 #VoxCPM 1.5B TTS 模型是极好的,支持输出 44.1kHZ 音频达到商用级别音质;

整体模型架构也参考了字节  DiTAR,也是标准 GPT + FlowMatching/DiT 变体,使用连续 Codec 表征压缩到低至 6.25 Hz

demo 体验:huggingface.co/spaces/openbmb…
GitHub: github.com/OpenBMB/VoxCPM
HF:
FeitengLi's tweet image. 面壁 #VoxCPM 1.5B TTS 模型是极好的,支持输出 44.1kHZ 音频达到商用级别音质;

整体模型架构也参考了字节  DiTAR,也是标准 GPT + FlowMatching/DiT 变体,使用连续 Codec 表征压缩到低至 6.25 Hz

demo 体验:huggingface.co/spaces/openbmb…
GitHub: github.com/OpenBMB/VoxCPM
HF:

🚀 Introducing VoxCPM 1.5! We are taking realistic speech generation to the next level with major upgrades in audio quality and stability. 🎧✨ What's new: 🔊 44.1kHz Hi-Fi Audio: Now supports high-sampling-rate waveform decoding (up from 16kHz). ⚡ High Efficiency: Generates



💥 Wanna blow your mind? Try it out. And if you’re hyped about lifelike AI voices and want to stay ahead of the game… SMASH THAT FOLLOW ➡️ for more wild AI drops, geeky updates & memes! #AI #VoxCPM #VoiceAI #MemeMagic


Aucun résultat pour "#voxcpm"

面壁 #VoxCPM 1.5B TTS 模型是极好的,支持输出 44.1kHZ 音频达到商用级别音质; 整体模型架构也参考了字节 DiTAR,也是标准 GPT + FlowMatching/DiT 变体,使用连续 Codec 表征压缩到低至 6.25 Hz demo 体验:huggingface.co/spaces/openbmb… GitHub: github.com/OpenBMB/VoxCPM HF:

FeitengLi's tweet image. 面壁 #VoxCPM 1.5B TTS 模型是极好的,支持输出 44.1kHZ 音频达到商用级别音质;

整体模型架构也参考了字节  DiTAR,也是标准 GPT + FlowMatching/DiT 变体,使用连续 Codec 表征压缩到低至 6.25 Hz

demo 体验:huggingface.co/spaces/openbmb…
GitHub: github.com/OpenBMB/VoxCPM
HF:
FeitengLi's tweet image. 面壁 #VoxCPM 1.5B TTS 模型是极好的,支持输出 44.1kHZ 音频达到商用级别音质;

整体模型架构也参考了字节  DiTAR,也是标准 GPT + FlowMatching/DiT 变体,使用连续 Codec 表征压缩到低至 6.25 Hz

demo 体验:huggingface.co/spaces/openbmb…
GitHub: github.com/OpenBMB/VoxCPM
HF:
FeitengLi's tweet image. 面壁 #VoxCPM 1.5B TTS 模型是极好的,支持输出 44.1kHZ 音频达到商用级别音质;

整体模型架构也参考了字节  DiTAR,也是标准 GPT + FlowMatching/DiT 变体,使用连续 Codec 表征压缩到低至 6.25 Hz

demo 体验:huggingface.co/spaces/openbmb…
GitHub: github.com/OpenBMB/VoxCPM
HF:

🚀 Introducing VoxCPM 1.5! We are taking realistic speech generation to the next level with major upgrades in audio quality and stability. 🎧✨ What's new: 🔊 44.1kHz Hi-Fi Audio: Now supports high-sampling-rate waveform decoding (up from 16kHz). ⚡ High Efficiency: Generates



📢Giving the 🦞 a soul. Imagine @openclaw executing your tasks, but responding in YOUR own cloned voice via #VoxCPM. 🤯 Calling all #VoxCPM fans: Anyone experimented with this combo yet? Tag us in your videos or screenshots! Drop your demos in the replies below—we’re looking

OpenBMB's tweet image. 📢Giving the 🦞 a soul.

Imagine @openclaw executing your tasks, but responding in YOUR own cloned voice via #VoxCPM. 🤯

Calling all #VoxCPM fans: Anyone experimented with this combo yet? Tag us in your videos or screenshots!

Drop your demos in the replies below—we’re looking

🎉 We ran VoxCPM 2 on #MiniMax’s multilingual benchmark as part of a broader evaluation. Result?👇 🔹 Top-tier SIM across a wide range of languages 🔹 Consistent high performance across 30+ evaluated languages 📎 Full evaluation :github.com/OpenBMB/VoxCPM… #VoxCPM #TTS #AI

OpenBMB's tweet image. 🎉 We ran VoxCPM 2 on #MiniMax’s multilingual benchmark as part of a broader evaluation.
Result?👇
🔹 Top-tier SIM across a wide range of languages  
🔹 Consistent high performance across 30+ evaluated languages
📎 Full evaluation :github.com/OpenBMB/VoxCPM…
#VoxCPM #TTS #AI

🧠 #VoxCPM è un nuovo progetto open source che permette la clonazione della voce in tempo reale. 👉 I dettagli: linkedin.com/posts/alessiop… #AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM

alepom's tweet image. 🧠 #VoxCPM è un nuovo progetto open source che permette la clonazione della voce in tempo reale. 
👉 I dettagli: linkedin.com/posts/alessiop…

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM

Generative models for speech synthesis face a fundamental trade-off: discrete tokens ensure stability but sacrifice expressivity, while continuous signals retain acoustic richness but suffer from error accumulation due to task entanglement.⚖️ #VoxCPM achieves state-of-the-art

OpenBMB's tweet image. Generative models for speech synthesis face a fundamental trade-off: discrete tokens ensure stability but sacrifice expressivity, while continuous signals retain acoustic richness but suffer from error accumulation due to task entanglement.⚖️

#VoxCPM achieves state-of-the-art
OpenBMB's tweet image. Generative models for speech synthesis face a fundamental trade-off: discrete tokens ensure stability but sacrifice expressivity, while continuous signals retain acoustic richness but suffer from error accumulation due to task entanglement.⚖️

#VoxCPM achieves state-of-the-art
OpenBMB's tweet image. Generative models for speech synthesis face a fundamental trade-off: discrete tokens ensure stability but sacrifice expressivity, while continuous signals retain acoustic richness but suffer from error accumulation due to task entanglement.⚖️

#VoxCPM achieves state-of-the-art

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