Speech Recognition Technology and Applications

$160.00$240.00

Vasile-Florian Păiș – Research Institute for Artificial Intelligence ”Mihai Drăgănescu”, Romanian Academy, Bucharest, Romania

Series: Computer Science, Technology and Applications
BISAC: COM073000; COM042000
DOI: https://doi.org/10.52305/BKWM8996

Speech represents the most natural means of communication between humans. By using Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems, machines also become able to interact with humans using speech. This is of particular importance for building interactive robots or speech-enabled chatbots. This book starts by exploring state-of-the-art ASR and TTS approaches, making use of artificial neural networks, relevant also to low-resource scenarios. Then, it explores the application of speech technology to specific domains, such as the medical domain, human-robot interaction, and even interlinking of speech and text resources using linguistic linked open data (LLOD) principles. The book also provides punctuation restoration techniques, enabling the production of high-quality text transcripts. Included algorithms have low latency and can be parallelized, thus enabling their use in interactive systems. Chapter authors are professors and scientific researchers with experience in building and using natural language processing algorithms and speech applications.

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Table of Contents

Preface

Chapter 1. Building an Automatic Speech Recognition System for a Low-Resource Language
Dan Ungureanu and Mihai Dascalu
Computer Science Department, University Politehnica of Bucharest, Bucharest, Romania

Chapter 2. Self-Supervised Pre-Training in Speech Recognition Systems
Andrei-Marius Avram∗, Vasile Păiș, and Dan Tufis,
Research Institute for Artificial Intelligence ”Mihai Drăgănescu”, Romanian Academy, Bucharest, Romania

Chapter 3. The Impact of Speech Recognition Performance on Human-Computer
Interaction
Vasile Păiș, Andrei-Marius Avram, Radu Ion and Dan Tufis,
Research Institute for Artificial Intelligence ”Mihai Drăgănescu”, Romanian Academy,
Bucharest, Romania

Chapter 4. The Role of Automatic Speech Recognition Systems in Developing
Medical Applications
Maria Mitrofan
Research Institute for Artificial Intelligence ”Mihai Drăgănescu”, Romanian Academy, Bucharest, Romania

Chapter 5. Punctuation Recovery for Romanian Transcribed Documents
Vasile Păiș
Research Institute for Artificial Intelligence ”Mihai Drăgănescu”, Romanian Academy Bucharest, Romania

Chapter 6. Linguistic Linked Open Data for Speech Processing
Vasile Păiș, and Verginica Barbu Mititelu
Research Institute for Artificial Intelligence ”Mihai Drăgănescu”, Romanian Academy, Bucharest, Romania

Chapter 7. Transformer-Based Romanian Text-To-Speech System Using Boolean Masking for Improved Prosody
George-Alexandru Vlad1 Gabriel Bercaru2, Costin-Gabriel Chiru2, and Traian Rebedea2
1SoftTehnica, Bucharest, Romania
2University Politehnica of Bucharest, Romania

Index