What is Automatic Speech Recognition (ASR)?
How It Works
Modern ASR uses deep learning, specifically transformer-based neural networks, to process speech. The audio signal is converted to spectrograms, which the model analyzes to predict text output.
ASR systems are trained on thousands of hours of labeled speech data to handle diverse accents, speaking speeds, and vocabulary. Advanced models also incorporate language models for better accuracy.
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Why It Matters
ASR is the core technology that makes AI meeting assistants possible. Without accurate speech recognition, features like transcription, summaries, and coaching cannot function.
The accuracy of ASR directly impacts the quality of meeting notes and AI coaching. This is why Whisper uses state-of-the-art models for the best possible transcription quality.
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