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The AssemblyAI blog post "Conformer-2: A state-of-the-art speech recognition model" introduces Conformer-2, AssemblyAI's latest AI model for automatic speech recognition (ASR). Conformer-2 is trained on 1.1M hours of English audio data, making it the largest and most comprehensive ASR model ever trained.
Conformer-2 achieves state-of-the-art accuracy on a variety of academic and real-world datasets, including the LibriSpeech dataset, the Switchboard dataset, and the CallHome dataset. Conformer-2 also shows significant improvements over previous ASR models in terms of robustness to noise and its ability to recognize proper nouns and alphanumerics.
AssemblyAI is making Conformer-2 available to developers through its API. This allows developers to integrate Conformer-2 into their own applications, such as voice assistants, transcription services, and video conferencing applications.
Conformer-2 is a significant advance in the field of ASR. It is the most accurate and robust ASR model ever developed, and it has the potential to revolutionize the way we interact with computers.
Here are some of the potential benefits of Conformer-2:
- More accurate and reliable transcription of voice recordings
- Improved performance of voice assistants and other voice-activated applications
- Better understanding of human speech in noisy environments
- New and innovative applications for speech recognition technology
Overall, Conformer-2 is a powerful and versatile ASR model that has the potential to make a significant impact on the way we interact with computers.