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How the human voice must be understood, framed, and transformed to fit the conceptual formats required for artificial intelligence.
What does it mean to know a voice, and how is that knowledge troubled through attempts to measure, analyze, and generate it? In Machine Voices, Edward Kang explores the sonic beliefs and practices that orbit voice AI technologies. He resists the paralysis of the increasingly ambiguous term “artificial intelligence” and examines it as a cultural hypothesis of human capability. Similar to how computer vision models inherit a limited belief of “how humans see,” or how LLMs employ a narrow proposition about “what language is,” voice AI systems invoke a thesis of how humans listen and speak.
Kang offers the “machine voice” as a critical frame for understanding how the human voice is made commensurate with the mechanical formats required for artificial intelligence. In so doing, Kang not only presents new analytical frames to understand voice AI technologies and the economic, social, and cultural forces underlying their construction but also pushes the boundaries of voice and listening in ways with which we have not yet contended.
What does it mean to know a voice, and how is that knowledge troubled through attempts to measure, analyze, and generate it? In Machine Voices, Edward Kang explores the sonic beliefs and practices that orbit voice AI technologies. He resists the paralysis of the increasingly ambiguous term “artificial intelligence” and examines it as a cultural hypothesis of human capability. Similar to how computer vision models inherit a limited belief of “how humans see,” or how LLMs employ a narrow proposition about “what language is,” voice AI systems invoke a thesis of how humans listen and speak.
Kang offers the “machine voice” as a critical frame for understanding how the human voice is made commensurate with the mechanical formats required for artificial intelligence. In so doing, Kang not only presents new analytical frames to understand voice AI technologies and the economic, social, and cultural forces underlying their construction but also pushes the boundaries of voice and listening in ways with which we have not yet contended.
How the human voice must be understood, framed, and transformed to fit the conceptual formats required for artificial intelligence.
What does it mean to know a voice, and how is that knowledge troubled through attempts to measure, analyze, and generate it? In Machine Voices, Edward Kang explores the sonic beliefs and practices that orbit voice AI technologies. He resists the paralysis of the increasingly ambiguous term “artificial intelligence” and examines it as a cultural hypothesis of human capability. Similar to how computer vision models inherit a limited belief of “how humans see,” or how LLMs employ a narrow proposition about “what language is,” voice AI systems invoke a thesis of how humans listen and speak.
Kang offers the “machine voice” as a critical frame for understanding how the human voice is made commensurate with the mechanical formats required for artificial intelligence. In so doing, Kang not only presents new analytical frames to understand voice AI technologies and the economic, social, and cultural forces underlying their construction but also pushes the boundaries of voice and listening in ways with which we have not yet contended.
What does it mean to know a voice, and how is that knowledge troubled through attempts to measure, analyze, and generate it? In Machine Voices, Edward Kang explores the sonic beliefs and practices that orbit voice AI technologies. He resists the paralysis of the increasingly ambiguous term “artificial intelligence” and examines it as a cultural hypothesis of human capability. Similar to how computer vision models inherit a limited belief of “how humans see,” or how LLMs employ a narrow proposition about “what language is,” voice AI systems invoke a thesis of how humans listen and speak.
Kang offers the “machine voice” as a critical frame for understanding how the human voice is made commensurate with the mechanical formats required for artificial intelligence. In so doing, Kang not only presents new analytical frames to understand voice AI technologies and the economic, social, and cultural forces underlying their construction but also pushes the boundaries of voice and listening in ways with which we have not yet contended.
Über den Autor
Edward B. Kang is Assistant Professor of Media, Culture, and Communication at New York University. Kang codirects a working group titled Machine Listening in the Age of AI as well as the AI & Society group at the Institute for Public Knowledge.
Inhaltsverzeichnis
Contents
Acknowledgments
Introduction: Machine Voices
Part I: Histories and Conditions
1 Frames of Voice
Interlude 1 Machine Voicescapes
Part II Listening Machines
3 Machines Learning to Listen
4 Listening to Engineered Emotions
Interlude 2 Beyond Listening, Toward Voicing
Part III Speaking Machines
5 Voice Engines
6 Shifting Standards
Conclusion The Human Metaphor
Notes
References
Index
Acknowledgments
Introduction: Machine Voices
Part I: Histories and Conditions
1 Frames of Voice
Interlude 1 Machine Voicescapes
Part II Listening Machines
3 Machines Learning to Listen
4 Listening to Engineered Emotions
Interlude 2 Beyond Listening, Toward Voicing
Part III Speaking Machines
5 Voice Engines
6 Shifting Standards
Conclusion The Human Metaphor
Notes
References
Index
Details
| Erscheinungsjahr: | 2026 |
|---|---|
| Genre: | Importe, Technik allg. |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780262054720 |
| ISBN-10: | 0262054728 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Kang, Edward B |
| Hersteller: | MIT Press Ltd |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 226 x 151 x 16 mm |
| Von/Mit: | Edward B Kang |
| Erscheinungsdatum: | 06.10.2026 |
| Gewicht: | 0,308 kg |