Speech Recognition and Synthesis

Speech Recognition and Synthesis is a research topic within Artificial Intelligence. Science Explorer counts 35k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the advances in speech recognition technology, covering topics such as acoustic modeling using deep neural networks, speaker verification, convolutional neural networks for speech recognition, end-to-end speech recognition systems, hidden Markov models, sequence-to-sequence models, automatic speech recognition, speaker diarization, and statistical language modeling.

• Deep Neural Networks
• Acoustic Modeling
• Speaker Verification
• Convolutional Neural Networks
• End-to-End Speech Recognition
• Hidden Markov Models
• Sequence-to-Sequence Models
• Automatic Speech Recognition
• Speaker Diarization
• Statistical Language Modeling