March 29, 2024
Updated April 1, 2025
16 minute read
Speech Scientist
Speech science is a fascinating and complex field dedicated to understanding how humans produce, perceive, and process speech. It sits at the intersection of several disciplines, including linguistics, psychology, computer science, engineering, and neuroscience. At its core, speech science investigates the physical and biological underpinnings of spoken communication, exploring everything from the movements of our vocal cords to how our brains interpret sound waves.
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Find a path to becoming a Speech Scientist. Learn more at:
OpenCourser.com/career/fvx6ud/speech
Reading list
We've selected some books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Speech Scientist.
Focuses specifically on deep learning techniques for ASR, providing an in-depth understanding of the architectures and algorithms used in modern ASR systems. It is highly relevant to Whisper as it explores the state-of-the-art methods in deep learning-based ASR.
Penned by a renowned phonetician, this book offers a comprehensive examination of vowel sounds, covering acoustic analysis, phonological representation, and articulatory mechanisms. It provides a solid foundation for learners seeking to grasp the intricacies of vowels.
Offers a comprehensive guide to deep learning techniques for natural language processing. It covers topics such as recurrent neural networks, transformers, and language generation, which are relevant to Whisper's deep learning models.
This advanced textbook provides a comprehensive overview of machine learning techniques for audio, speech, and language processing. It covers deep learning models, sequence models, and other advanced topics relevant to Whisper's underlying algorithms.
This foundational textbook provides a comprehensive overview of the fundamentals of speech recognition, covering acoustic modeling, language modeling, and decoding algorithms. It is highly relevant to Whisper as it establishes a strong understanding of the underlying principles.
This comprehensive textbook provides a thorough overview of speech and language processing, including fundamentals of speech recognition and synthesis, natural language processing, and machine learning techniques. It is highly relevant to Whisper as it covers the underlying principles and algorithms used in ASR systems.
This comprehensive reference provides a catalog of the vowel sounds found in different languages around the world. It serves as an invaluable resource for linguists, phoneticians, and anyone interested in the diversity of vowel systems.
This comprehensive textbook covers NLP techniques, including text-to-speech synthesis. It provides a solid foundation for understanding the underlying principles of Amazon Polly and other speech synthesis technologies.
This specialized book delves into the acoustic analysis of vowel sounds. It covers topics such as formant frequencies, vowel spaces, and acoustic modeling, making it suitable for researchers and advanced students.
Focuses on the intonation of English vowels in discourse, particularly for Spanish speakers. It explores the cross-linguistic differences and provides practical guidance for non-native speakers seeking to improve their pronunciation.
This introductory phonetics textbook includes a chapter on vowel sounds, covering the production, acoustics, and perception of vowels. It well-rounded resource for learners seeking a solid foundation in phonetics.
This practical guide to English phonetics and phonology includes exercises and examples related to vowel sounds. It is designed for students of English pronunciation and language teaching.
For more information about how these books relate to this course, visit:
OpenCourser.com/career/fvx6ud/speech
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