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Artificial Analysis更新于 10月30日 14:23

AssemblyAI 首款 TTS 模型 AssemblyAI-TTS-1 评测:Elo 1227 排第 12

AssemblyAI has launched its first Text to Speech model! AssemblyAI-TTS-1 enters the top 12 in our Provider Voice Arena and the top 10 in Controlled Voice

AI 导读

AssemblyAI 推出首款 TTS 模型 AssemblyAI-TTS-1,在 Artificial Analysis 的 Provider Voice Arena 中以 Elo 1,227 排名第 12,在 Controlled Voice 中以 1,110 排名第 10。其发音鲁棒性得分 81.7%,排名第 16;生成速度为每秒 162 字符,快于 Cartesia Sonic 3.6 的 148.6 和 Mistral Voxtral 3 TTS 的 112.3。定价为 $15/1M 字符,在 Provider Voice 排名前 11 的模型中仅有两款更便宜。

正文

AssemblyAI has launched its first Text to Speech model! AssemblyAI-TTS-1 enters the top 12 in our Provider Voice Arena and the top 10 in Controlled Voice

@AssemblyAI has launched its first Text to Speech model, AssemblyAI-TTS-1! We evaluated its performance across both Speech Arenas and our Pronunciation Robustness benchmark.

Key takeaways:

➤ Text to Speech, Provider Voice: AssemblyAI-TTS-1 scores an Elo of 1,227 across 1,626 arena appearances, ranking #12, just behind Breeze TTS 2 at 1,228 and ahead of Mistral's Voxtral 3 TTS at 1,221 and Inworld's Realtime TTS-2 Flash at 1,218. It ranks #12 in both English (US) and English (UK).

➤ Text to Speech, Controlled Voice: AssemblyAI-TTS-1 scores 1,110 across 1,674 appearances, ranking #10 with the same 8 cloned voices, behind Cartesia's Sonic 3.5 at 1,118 and ahead of Speechify's Simba 3.2 at 1,086. It ranks #6 in Knowledge Sharing.

➤ Pronunciation Robustness: AssemblyAI-TTS-1 scores 81.7% across 2,115 rated clips, ranking #16, behind HeyGen Voice at 83.2% and ahead of Inworld Realtime TTS-2 at 80.7%. It ranks #6 in Preserving Exact Sequences at 81.5%.

➤ Speed: AssemblyAI-TTS-1 generates 162 characters per second, faster than Cartesia's Sonic 3.6 at 148.6 and Mistral's Voxtral 3 TTS at 112.3.

➤ Pricing: AssemblyAI-TTS-1 is priced at $15/1M characters. Of the eleven models ranked above it on Provider Voice, only two cost less: Gemini 3.8 Flash-Lite TTS at $11/1M and Simba 3.2 at $6.6/1M. Eleven v4 is $80/1M and Sonic 3.6 $49/1M.

See more details and listen to samples below ⬇️

来源

Artificial Analysis