Conformer-2: Advanced AI Model for Speech Recognition
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Features
Focus Areas
Scaling Laws and Training Data
Ensembling Technique
Improved Speed and Processing
Real-World Performance
Ideal for AI Pipelines
Use Cases
Conformer-2 is a cutting edge AI model specifically designed for Automatic Speech Recognition (ASR). It leverages an extensive dataset of 1.1 million hours of English audio, leading to remarkable improvements in various aspects of speech recognition.
Conformer-2 focuses on critical areas such as proper nouns, alphanumerics, and noise robustness. This leads to enhanced accuracy in speech-to-text transcription when dealing with previously unseen data during training.
Conformer-2 is a valuable tool for AI pipelines that focus on generative AI applications using spoken data. It achieves remarkable precision and reliability in generating accurate transcriptions.