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Nvidia推出Nemotron 3.5 Transcribe，支持40种语言的开放转录模型Nvidia launches Nemotron 3.5 Transcribe, an open transcription model for 40 languages
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以下内容为 AI 自动翻译，英文原文附后供参考。
摘要
Nvidia推出了最新的开放转录模型Nemotron 3.5 Transcribe，该模型能够转录40种不同语言的音频。该模型还可以区分八位说话者，特别适用于商业和医疗领域的应用。然而，需要注意的是，该模型仅设计用于录音音频，限制了其在实时转录场景中的使用。
Nvidia has unveiled its latest open transcription model, Nemotron 3.5 Transcribe, which is capable of transcribing audio in 40 different languages. This model can also distinguish between eight speakers, making it particularly useful for applications in business and medical fields. However, it's important to note that the model is designed to work exclusively with recorded audio, limiting its use in real-time transcription scenarios.
要点
Nvidia的新模型支持40种语言的转录。
Nvidia's new model supports transcription in 40 languages.
该模型可以区分八位说话者。
The model can differentiate between eight speakers.
面向商业和医疗领域的开发者。
Targeted towards developers in business and medical sectors.
为何重要
Nemotron 3.5 Transcribe的发布突显了在多个领域对先进语音AI解决方案日益增长的需求，特别是在准确转录至关重要的地方。
The release of Nemotron 3.5 Transcribe highlights the growing demand for advanced voice AI solutions in diverse fields, particularly where accurate transcription is critical.
产品经理
产品经理应考虑该模型如何增强他们的应用，特别是在依赖准确音频转录的行业。
Product managers should consider how this model can enhance their applications, especially in industries that rely heavily on accurate audio transcription.
开发者
开发者可以利用这个开放模型将复杂的转录功能集成到他们的应用中，从而改善用户体验和功能。
Developers can leverage this open model to integrate sophisticated transcription capabilities into their applications, improving user experience and functionality.
学生与求职者
学生和求职者可以探索AI和语音技术的机会，因为掌握使用像Nemotron 3.5 Transcribe这样的模型的技能在就业市场上变得越来越有价值。
Students and job-seekers can explore opportunities in AI and voice technology, as skills in working with models like Nemotron 3.5 Transcribe become increasingly valuable in the job market.
覆盖来源
来源标题与摘录保留原文，以便核对与追溯。
TechCrunch AI
Voice AI in vogue: Nvidia releases new open transcription modelNvidia just released a free speech-to-text model that can transcribe up to 40 languages, but it only works on recordings, not live audio, so it’s a big step for meeting and medical transcription tools while still leaving real-time use to rivals like ElevenLabs.