Acoustic Modeling
Natural Language Processing
Process of creating statistical representations of speech sounds for recognition systems.
Detailed Explanation
Acoustic modeling involves developing statistical representations of speech sounds (phonemes) to enable speech recognition systems to accurately interpret spoken language. These models analyze audio features like frequency and amplitude, capturing variability in speech due to accents, pronunciation, and noise. They serve as a core component in automatic speech recognition (ASR) systems, transforming raw audio into recognizable text by matching sound patterns.
Use Cases
- •Enhancing voice assistants to accurately interpret diverse accents and noisy environments through improved acoustic modeling.
Related Terms
Other terms in the Natural Language Processing category