Practical AI Speech recognition to say it just right
Mar 23, 2020
Catherine Breslin, a solutions architect at Cobalt and former Alexa team member at Amazon, dives into the world of speech recognition. She sheds light on how the technology powers virtual assistants and facilitates transcription. The discussion covers building essential components like lexicons and acoustic models. Breslin also examines challenges like accommodating accents and the future of speech recognition, particularly in enhancing accessibility and multilingual support. Tune in to explore the fascinating evolution of conversational AI!
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Speech Recognition Components
- Speech recognition systems use lexicons, acoustic models, and language models.
- These components work together to transcribe audio into words.
Acoustic and Language Models
- Modern acoustic models utilize neural networks for improved accuracy.
- Language models predict word sequences based on text data.
Accents and Speech Recognition
- Accents affect pronunciation in the lexicon.
- Accents influence phrasing and word order in the language model.
