Recognition of Emotion from Speech: A Review
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Title: Recognition of Emotion from Speech: A Review

Section 1: Introduction
Description 1: Write an overview of emotional speech recognition, its importance, challenges, and applications. Summarize the structure of the paper.

Section 2: Basic framework for emotional recognition
Description 2: Describe the fundamental components and processes involved in emotional speech recognition frameworks.

Section 3: Emotional speech database
Description 3: Explain the criteria for evaluating emotional speech databases and the types of databases used in speech emotion recognition.

Section 4: Acoustic characteristics of emotions in speech
Description 4: Discuss the prosodic and acoustic features that are crucial for identifying different emotional states in speech.

Section 5: Feature extraction and classification
Description 5: Detail the methods for preprocessing, feature extraction, feature selection, and classification algorithms used in speech emotion recognition.

Section 6: Applications
Description 6: Explore the various applications of emotion detection from speech in different domains such as intelligent tutoring systems, lie detection, banking, in-car systems, and more.

Section 7: Conclusion
Description 7: Summarize the key points and findings of the paper. Highlight the importance of an effective database and classifier in the performance of SER systems. Discuss the future directions and potential advancements in the field.

Section 8: References
Description 8: Provide a list of references cited throughout the paper.