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Conformer2
Conformer-2: An advanced AI model for automatic speech recognition, featuring improved proper noun and alphanumeric transcription. Trained on a large English audio dataset, it delivers enhanced performance in real-world conditions, making it suitable for speech-to-text applications.
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- 🧩 Automatic speech recognition functionality.
- 🧩 Trained on 1.1 million hours of English audio data.
- 🧩 Improved transcription of proper nouns and alphanumerics.
- 🧩 Robustness to noise.
- 🧩 Model ensembling techniques for better error rates and processing speed.
- Speech-to-text plan : $0.37 second hour hour
- Real-time transcription plan : $0.47 second hour hour
- Audio intelligence plan : model price key phrases $0.01/hour sentiment analysis $0.02/hour summarization $0.03/hour pii audio redaction* $0.05/hour pii redaction $0.08/hour auto chapters $0.08/hour entity detection $0.08/hour content moderation $0.15/hour topic detection $0.15/hour
- Lemur plan : lemur default $0.015/1k tokens $0.043/1k tokens lemur claude 2.1 $0.015/1k tokens $0.043/1k tokens lemur basic $0.002/1k tokens $0.005/1k tokens
- 🟢 Improve the accuracy of transcribing interviews and podcasts using Conformer-2's advanced speech recognition capabilities, ensuring accurate capture of proper nouns and alphanumerics for enhanced content understanding.
- 🟢 Develop real-time voice-to-text applications for meetings and conferences with Conformer-2, benefitting from its robust noise handling abilities to maintain transcription quality in varying environmental conditions.
- 🟢 Create automated subtitles for videos and films with precise transcription accuracy using Conformer-2, speeding up the subtitling process and increasing accessibility for viewers with hearing impairments.