Grok Voice Transcribe 2.0 发布,登顶 AA-WER 流式最终转写准确率

Artificial Analysis · @ArtificialAnlys · X·2026-09-19 05:47·2小时前
AI 导读

SpaceXAI 发布语音转文字模型 Grok Voice Transcribe 2.0,在 AA-WER Streaming 上以语音结束后 0.49 秒 2.7% WER 登顶最终转写和首个部分转写准确率。

Artificial Analysis@ArtificialAnlys
55AI 编辑部评分,满分 100

Grok Voice Transcribe 2.0 发布,登顶 AA-WER 流式最终转写准确率

2026-09-19 05:47· 2小时前
AI 导读

SpaceXAI 发布语音转文字模型 Grok Voice Transcribe 2.0,在 AA-WER Streaming 上以语音结束后 0.49 秒 2.7% WER 登顶最终转写和首个部分转写准确率。

SpaceXAI has released Grok Voice Transcribe 2.0, taking the #1 spot for Final Transcript accuracy and First Partial Transcript accuracy on AA-WER Streaming with 2.7% WER at 0.49s after end of speech

Grok Voice Transcribe 2.0 is @SpaceXAI's new Speech to Text model, succeeding Grok Voice Transcribe 1.0 (previously Grok Speech to Text). It improves streaming Final Transcript WER from 3.9% to 2.7% and non-streaming AA-WER from 4.0% to 2.3%. It is available through the SpaceXAI API for both streaming and non-streaming transcription, at the same price as its predecessor.

Key takeaways ➤ Final Transcript: Grok Voice Transcribe 2.0 achieves 2.7% WER at 0.49s after end of speech. It is more accurate but slower than 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-2 (semantic endpoints) at 3.4% and 0.43s ➤ First Partial Transcript: The model achieves 3.4% WER at 0.49s, just ahead of Muse Voice Transcribe and ElevenLabs Scribe v2 Realtime on accuracy, both at 3.6%, though slower than both at 0.13s. It is more accurate but slower than Cartesia Ink-2 (semantic endpoints) at 4.9% and 0.17s, and Cartesia Ink-2 (external endpoints) at 4.0% and 0.07s ➤ Non-streaming: Grok Voice Transcribe 2.0 scores 2.3% on AA-WER, placing #5 of 59 models. It sits behind Alibaba's Fun-Realtime-ASR-preview and StepFun's StepAudio 3 ASR at 1.7%, Microsoft AI's MAI-Transcribe-2 at 2.0%, and ElevenLabs Scribe v2 at 2.2%, with a speed factor of around 160x ➤ Price: Grok Voice Transcribe 2.0 costs $0.20 per hour for streaming, or $3.33 per 1,000 minutes. This is just above Muse Voice Transcribe at $3, below Cartesia Ink-2 at $4, and around half the $6.50 charged for ElevenLabs Scribe v2 Realtime and Deepgram Flux. Non-streaming transcription costs $0.10 per hour, or $1.67 per 1,000 minutes

Congrats to @elonmusk and the @SpaceXAI team on the launch!

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来源:Artificial Analysis· x.com