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Speech Scientist

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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.

Working as a speech scientist can be incredibly engaging. You might find yourself developing cutting-edge voice recognition technology that powers virtual assistants like Siri or Alexa. Alternatively, you could be in a lab analyzing acoustic signals to better diagnose speech disorders or working alongside clinicians to improve therapies. The field is constantly evolving, particularly with advancements in artificial intelligence, offering exciting opportunities to contribute to both scientific knowledge and practical applications that impact communication.

Introduction to Speech Science

What is Speech Science?

Speech science is the interdisciplinary study focused on how speech is produced, transmitted physically as sound waves, and perceived by listeners. It delves into the anatomy and physiology of the body systems involved in creating and hearing sound, such as the lungs, larynx (voice box), vocal tract, and ears. Beyond the physical aspects, it also considers the psychological elements of communication, including sensation, perception, and cognition related to speech.

Historically rooted in phonetics—the branch of linguistics concerned with speech sounds—speech science has expanded significantly. Early work in the 19th century, such as that by Paul Broca and Carl Wernicke, laid foundations by linking specific brain areas to speech production and comprehension. Later developments, like Alexander Melville Bell's "visible speech" system, focused on representing speech sounds based on articulation.

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Salaries for Speech Scientist

City
Median
New York
$119,000
San Francisco
$140,000
Seattle
$83,000
See all salaries
City
Median
New York
$119,000
San Francisco
$140,000
Seattle
$83,000
Austin
$124,000
Toronto
$105,000
London
£81,000
Paris
€47,000
Berlin
€72,000
Tel Aviv
₪602,000
Singapore
S$98,000
Beijing
¥150,000
Shanghai
¥200,000
Shenzhen
¥152,000
Bengalaru
₹485,000
Delhi
₹320,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Reading list

We haven't picked any books for this reading list yet.
Provides a detailed overview of sound representation techniques, including both lossless and lossy compression methods.
Provides a comprehensive overview of speech synthesis and recognition, covering the theory and applications of these technologies. It is written by a leading expert in the field and is suitable for readers with a general interest in the topic.
Provides an overview of the use of natural language processing for synthetic speech generation. It covers a wide range of topics, including natural language processing techniques, speech synthesis algorithms, and speech prosody.
This renowned textbook provides a comprehensive overview of speech and language processing, including a chapter on speech synthesis. It covers the fundamental concepts, algorithms, and applications of modern speech synthesis systems.
Provides a basic overview of synthetic speech. It is written for readers with no prior knowledge of the topic.
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.
Covers fundamental principles of sound representation and includes topics on speech interpolation and prosody.
Covers a wide range of topics in digital signal processing, with a focus on applications in music.
Provides a detailed overview of binaural recording, which technique for creating realistic 3D sound recordings.
Covers the topic of audio watermarking, which technique for embedding information into an audio signal.
Provides a practical guide to understanding and using audio equipment, covering topics such as microphones, loudspeakers, and recording studios.
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