What is meant by Speech analysis?
The term "speech analysis" refers to the systematic examination and evaluation of spoken or written language to extract information, identify patterns, or recognize specific features. This analysis can include both written texts and spoken speech and is used in various fields such as customer service, market research, security monitoring, and more. Speech analysis helps in identifying sentiments, intentions, topics, and other relevant aspects of communication.
Typical software functions in the area of "speech analysis":
- Text Analysis: Examination and evaluation of written texts to detect topics, keywords, and trends.
- Sentiment Analysis: Assessment of emotional tone or sentiment in speech to identify positive, negative, or neutral feelings.
- Speech Recognition: Conversion of spoken language into text for further analysis.
- Speech Pattern Recognition: Detection of recurring patterns, linguistic styles, or expressions in communication.
- Topic Extraction: Identification and classification of main topics or concepts covered in a text or conversation.
- Named Entity Recognition (NER): Recognition and classification of specific entities such as names, locations, and organizations within the text.
- Speech Processing and Interpretation: Processing spoken language to analyze and interpret content.
- Sentiment Monitoring: Continuous monitoring and analysis of speech or text data to detect changes in sentiment or customer feedback.