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Analyzing Emotion in Spontaneous Speech / by Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu.
- Format:
- Book
- Author/Creator:
- Chakraborty, Rupayan, author.
- Pandharipande, Meghna, author.
- Kopparapu, Sunil Kumar, author.
- Series:
- Computer Science (Springer-11645)
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- User interfaces (Computer systems).
- Computer simulation.
- Signal processing.
- Image processing.
- Speech processing systems.
- Pattern perception.
- Application software.
- Artificial Intelligence.
- User Interfaces and Human Computer Interaction.
- Simulation and Modeling.
- Signal, Image and Speech Processing.
- Pattern Recognition.
- Computer Appl. in Social and Behavioral Sciences.
- Local Subjects:
- Artificial Intelligence.
- User Interfaces and Human Computer Interaction.
- Simulation and Modeling.
- Signal, Image and Speech Processing.
- Pattern Recognition.
- Computer Appl. in Social and Behavioral Sciences.
- Physical Description:
- 1 online resource (XVI, 81 pages) : 31 illustrations
- Edition:
- First edition 2017.
- Contained In:
- Springer eBooks
- Place of Publication:
- Singapore : Springer Singapore : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- This book captures the current challenges in automatic recognition of emotion in spontaneous speech and makes an effort to explain, elaborate, and propose possible solutions. Intelligent human-computer interaction (iHCI) systems thrive on several technologies like automatic speech recognition (ASR); speaker identification; language identification; image and video recognition; affect/mood/emotion analysis; and recognition, to name a few. Given the importance of spontaneity in any human-machine conversational speech, reliable recognition of emotion from naturally spoken spontaneous speech is crucial. While emotions, when explicitly demonstrated by an actor, are easy for a machine to recognize, the same is not true in the case of day-to-day, naturally spoken spontaneous speech. The book explores several reasons behind this, but one of the main reasons for this is that people, especially non-actors, do not explicitly demonstrate their emotion when they speak, thus making it difficult for machines to distinguish one emotion from another that is embedded in their spoken speech. This short book, based on some of authors' previously published books, in the area of audio emotion analysis, identifies the practical challenges in analysing emotions in spontaneous speech and puts forward several possible solutions that can assist in robustly determining the emotions expressed in spontaneous speech.
- Contents:
- Introduction
- Literature Survey
- A Framework for Spontaneous Speech Emotion Recognition
- Improving Emotion Classification Accuracies
- Case Studies
- Conclusions
- Appendix
- Index.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-10-7674-9
- 9789811076749
- Access Restriction:
- Restricted for use by site license.
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