Speech Recognition and Synthesis

TopicLeading institutions, researchers & key papers

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.

Works

IDs:OpenAlex

How has Speech Recognition and Synthesis's publication output changed over time?

ScholarIQpublication output · 2013–2024

Output grew100% over the shown period — from 1 works in 2013 to 2 in 2024.

201320162018201920202021202220232024

What are the most-cited papers on Speech Recognition and Synthesis?

ScholarIQmost cited works

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

Qian Zhang, Lu Han, Haşim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar

2020455 Citations

Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition

Jane Oruh, Serestina Viriri, Adekanmi Adeyinka Adegun

IEEE Access. 2022190 CitationsOPEN ACCESS

Error back propagation for sequence training of Context-Dependent Deep NetworkS for conversational speech transcription

Hang Su, Gang Li, Dong Yu, Frank Seide

2013145 Citations

Automatic Speech Recognition (ASR) Systems for Children: A Systematic Literature Review

Vivek Bhardwaj, Mohamed Tahar Ben Othman, Vinay Kukreja, Youcef Belkhier, Mohit Bajaj, B. Srikanth Goud, Ateeq Ur Rehman, Muhammad Shafiq, Habib Hamam

Applied Sciences. 2022128 CitationsOPEN ACCESS

High-Quality Nonparallel Voice Conversion Based on Cycle-Consistent Adversarial Network

Fuming Fang, Junichi Yamagishi, Isao Echizen, Jaime Lorenzo-Trueba

2018122 CitationsOPEN ACCESS