Exploring Scribe's unique features
Posted: Sun Apr 06, 2025 5:38 am
Outstanding Accuracy in Major Languages : ElevenLabs claims outstanding accuracy (with a word error rate of less than 5%) across more than 25 languages, including English (97% accuracy), French, German, Hindi, Japanese, and Spanish. The focus on language accuracy is a key differentiator. While these claims are impressive, further validation via third-party testing may strengthen confidence in these numbers.
Industry-leading performance : In performance tests such as FLEURS and Common Voice, Scribe reportedly outperforms leading models such as Google Gemini 2.0 Flash and Whisper Large V3, demonstrating its cutting-edge capabilities. This performance test success marks a significant leap forward in AI-powered transcription models, delivering superior performance accurate mobile phone number list that could be important in sectors that require high accuracy, such as legal or medical transcription.
ElevenLabs originally developed this speech-to-text technology for its conversational AI platform, but with Scribe, the technology is available as a standalone model, allowing for a wider user base.
In a recent interview with Bitcoin World , Mati Staniszewski, CEO of ElevenLabs, spoke about the company’s vision for improving speech recognition systems. He reiterated that the company’s goal is to better understand conversations, not just generate content. Staniszewski also addressed the misconception that speech-to-text has been completely solved, especially for languages where accuracy is often inaccurate. One of the company’s key advantages, he said, is its in-house annotation team, which helps in developing superior models.
In addition to core transcription, Scribe has several standout features:
Smart Speaker Voice Isolation : This feature can differentiate between speakers, making it ideal for multi-person conversations.
Word-level timestamps : Scribe provides precise timestamps for each word, enabling smooth narration generation and detailed analysis.
Automatic audio event tagging : The model can detect and tag audio events such as laughter and applause, adding valuable context to the transcript.
Industry-leading performance : In performance tests such as FLEURS and Common Voice, Scribe reportedly outperforms leading models such as Google Gemini 2.0 Flash and Whisper Large V3, demonstrating its cutting-edge capabilities. This performance test success marks a significant leap forward in AI-powered transcription models, delivering superior performance accurate mobile phone number list that could be important in sectors that require high accuracy, such as legal or medical transcription.
ElevenLabs originally developed this speech-to-text technology for its conversational AI platform, but with Scribe, the technology is available as a standalone model, allowing for a wider user base.
In a recent interview with Bitcoin World , Mati Staniszewski, CEO of ElevenLabs, spoke about the company’s vision for improving speech recognition systems. He reiterated that the company’s goal is to better understand conversations, not just generate content. Staniszewski also addressed the misconception that speech-to-text has been completely solved, especially for languages where accuracy is often inaccurate. One of the company’s key advantages, he said, is its in-house annotation team, which helps in developing superior models.
In addition to core transcription, Scribe has several standout features:
Smart Speaker Voice Isolation : This feature can differentiate between speakers, making it ideal for multi-person conversations.
Word-level timestamps : Scribe provides precise timestamps for each word, enabling smooth narration generation and detailed analysis.
Automatic audio event tagging : The model can detect and tag audio events such as laughter and applause, adding valuable context to the transcript.