#语音

Pulse by @smallest_AI currently ranks #1 in the Diarization + ASR track by DER, as the newest entry on the Voice Arena Diarization Bench. The Diarization + ASR track ranks Speaker-Attributed ASR systems that return speaker labels together with the transcript. Seven systems are in it today. Pulse scores 24.4% DER at a strict 0 ms collar. The next system, ElevenLabs Scribe v2, scores 40.7%. That is 1.7x lower error than the next best in the track. Most of the gap is missed speech. For every other system in the track, missed speech is the largest part of the error, above 30% for each of them. Pulse misses 4.4% of reference speech, the lowest in the track. On the full board of 13 systems, dedicated diarization models and Speaker-Attributed ASR systems together, Pulse places 5th. It is the highest-ranked Speaker-Attributed ASR system on the board and sits ahead of two dedicated diarization models. The result holds across settings: In-person recordings : 24.7% DER In online calls : 22.4% DER Congratulations to @smallest_AI 👏 View full results, per track and per condition: http://voicearena.com/diarization-bench

ElevenLabs' Eleven v4 Turbo takes the #1 spot on the Artificial Analysis Provider Voice TTS Arena Leaderboard, ahead of Eleven v4 while costing half the price Eleven v4 Turbo is the faster, lower-cost sibling of Eleven v4 from @ElevenLabs, designed to deliver comparable speech quality with lower latency and cost. Key takeaways: ➤ Provider Voice: Eleven v4 Turbo has an Elo of 1,334 (+19/-19) across 1,645 appearances, placing it ahead of Eleven v4 at 1,321, Alibaba's Qwen-Audio-3.1-TTS-Plus at 1,292 and Cartesia's Sonic 3.6 at 1,278. It ranks #1 in Customer Service and Entertainment and #2 in Assistants and Knowledge Sharing. ➤ Controlled Voice: Eleven v4 Turbo ranks #2 with an Elo of 1,173 (+15/-15) across 1,745 appearances, behind Qwen-Audio-3.1-TTS-Plus at 1,181 and ahead of Eleven v4 at 1,160. It ranks #1 in Arabic, German, Hindi and English (UK). ➤ Pronunciation Robustness: Eleven v4 Turbo scores 90.1%, ranking #2 behind Eleven v4 at 91.7% and ahead of Gemini 3.8 Flash TTS at 89.5%. ➤ Pricing: Eleven v4 Turbo is priced at $40/1M characters, half the price of Eleven v4 at $80/1M characters, compared to Sonic 3.6 at $49/1M characters and Gemini 3.8 Flash TTS at $16.49/1M characters. ➤ Speed: Eleven v4 Turbo processes 96 characters per second of generation time, compared to 84 characters per second for Eleven v4 and 59 for Eleven v3. See more details and listen to samples below 🧵

Your AI voice sounds human. So why can't it say your product's name? A great AI voice reads "Porsche Taycan" as TAY-can. Porsche says TIE-kahn. It guessed from the spelling, and nobody caught it, because nobody listens to line 1,200. Today we're launching Onepin: the production step after text-to-speech. It checks every line of voiceover before it ships using the voices you already work with. Onepin can: ➤ Check people's and product names against a 4-million-word pronunciation dictionary ➤ Spell out prices and dates before the voice speaks ➤ Score every line of audio for naturalness, clarity and word accuracy ➤ Fix the one wrong word in the same voice, without re-rendering the take Works with your voice subscription on @ElevenLabs, @OpenAI, @Google and 30+ more. No phonetic spellings to type. No re-rolls. No switching providers. Free to start, no credit card required. Hear the before and after in the thread ⬇️

Microsoft AI has released MAI-Transcribe-2-Streaming, taking the #1 spot for Final Transcript accuracy and First Partial Transcript accuracy on AA-WER Streaming with 2.5% WER at 0.13s after end of speech MAI-Transcribe-2-Streaming is @MicrosoftAI's new streaming Speech to Text model, joining the non-streaming MAI-Transcribe-2. It leads streaming Final Transcript WER at 2.5%, ahead of the previous #1, SpaceXAI's Grok Voice Transcribe 2.0 at 2.7%, and returns that transcript in 0.13s rather than 0.49s. It is available for streaming transcription at $0.54 per hour of audio, at the higher end of pricing among the leading streaming models. Key takeaways ➤ Final Transcript: MAI-Transcribe-2-Streaming achieves 2.5% WER at 0.13s after end of speech, ranking #1 of 38 models. It is more accurate and faster than Grok Voice Transcribe 2.0 at 2.7% and 0.49s, Muse Voice Transcribe at 3.1% and 0.16s, and ElevenLabs Scribe v2 Realtime at 3.6% and 0.14s. It is also more accurate, though slightly slower, than Cartesia Ink Preview (external endpoints) at 3.1% and 0.11s ➤ First Partial Transcript: The model achieves 2.5% WER at 0.12s, ahead of Grok Voice Transcribe 2.0 at 3.4% and 0.49s, and ahead of Muse Voice Transcribe and ElevenLabs Scribe v2 Realtime on accuracy, both at 3.6%, and slightly faster than both at 0.12s versus 0.13s. It is more accurate but slower than Cartesia Ink-2 (external endpoints) at 4.0% and 0.07s ➤ Price: MAI-Transcribe-2-Streaming costs $0.54 per hour for streaming, or $9.00 per 1,000 minutes. This puts it level with Gemini 3.5 Transcribe Live at $9, above the $6.50 charged for ElevenLabs Scribe v2 Realtime and Deepgram Flux, more than twice Cartesia Ink-2 at $4, and three times Muse Voice Transcribe at $3. Non-streaming transcription costs $0.10 per hour, or $1.67 per 1,000 minutes Congrats to the @MicrosoftAI team on the launch! See more details below

We’re excited to announce that @ultravox_dot_ai is now part of Inworld. Ultravox is the platform developers use to build real-time voice agents. We've worked with the team for a while through our TTS partnership, and today members of the team that built it are joining Inworld to keep developing it.

我们刚刚完成了一轮员工要约收购，对 @ElevenLabs 的估值为 220 亿美元，是我们 2 月 D 轮融资时的 2 倍。此次要约收购由 Wellington 和 T. Rowe Price 领投。 关于我们如何走到这一步，简单说几句 ↓

StepFun and ACE Studio present StepAudio 3 Music, StepFun’s first music generation foundation model — built to turn a prompt and lyrics into a complete song. Describe the sound you want: • Genre, mood and vocal character • Instruments, key and BPM • Song structure and arrangement Four workflows in one model: 🎤 Song generation 🎹 Instrumental generation 🔁 Music cover 🎙️ Vocal-to-song arrangement Powered by ABC-COT, it plans musical structure and arrangement before synthesis. Generate a version, rewrite the prompt, edit the ABC notation, and iterate toward the sound in your head. (ABC-COT API coming soon) Try the interactive demo: › https://static.stepfun.com/blog/stepaudio3/music/

Live Chat is now 100% rolled out to all Ultra users on mobile 📱✨ Have real-time voice conversations with your notebooks across ~100 languages. Powered by our latest audio models, ask questions about your sources and get step-by-step guidance (almost) completely hands-free.

Live Chat is now 100% rolled out to all Ultra users on mobile 📱✨ Have real-time voice conversations with your notebooks across ~100 languages. Powered by our latest audio models, ask questions about your sources and get step-by-step guidance (almost) completely hands-free.