How does speech recognition technology work?
Asked on Aug 07, 2025
Answer
Speech recognition technology converts spoken language into text by using a combination of acoustic and language models. It involves several steps to accurately interpret and transcribe spoken words.
Example Concept: Speech recognition systems first capture audio input through a microphone. The audio is then processed to identify phonemes, the smallest units of sound. Acoustic models match these phonemes to potential words, while language models use context to predict the most likely word sequences. Finally, the system outputs the recognized text, often refining it with additional context or user-specific data.
Additional Comment:
- Speech recognition systems often use neural networks, such as recurrent neural networks (RNNs) or transformers, to improve accuracy.
- Training these models requires large datasets of spoken language and corresponding transcriptions.
- Noise reduction and speaker adaptation are crucial for handling different environments and accents.
- Applications include virtual assistants, transcription services, and voice-controlled devices.
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