Automatic Speech Recognition enables computers to convert spoken language into written texts. Complex algorithms, neural networks, and machine learning models lie at the heart of ASR. These components collaborate to accurately and efficiently transcribe speech data, mimicking human language understanding.
ASR’s primary goal is facilitating natural communication with devices and applications through spoken language. Let’s examine the applications and prospects for ASR.
What are the components of ASR?
ASR comprises three components, such as:
Acoustic modeling
Language modeling
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