Speaker Recognition by Machines and Humans: A tutorial review
The University of Texas at Dallas · Rutgers, The State University of New Jersey · +1 more institution
Abstract
Identifying a person by his or her voice is an important human trait most take for granted in natural human-to-human interaction/communication. Speaking to someone over the telephone usually begins by identifying who is speaking and, at least in cases of familiar speakers, a subjective verification by the listener that the identity is correct and the conversation can proceed. Automatic speaker-recognition systems have emerged as an important means of verifying identity in many e-commerce applications as well as in general business interactions, forensics, and law enforcement. Human experts trained in forensic speaker recognition can perform this task even better by examining a set of acoustic, prosodic, and…
Citation impact
- FWCI
- 57.89
- Percentile
- 100%
- References
- 186
Authors
2Topics & keywords
- Computer science
- Speaker recognition
- Speech recognition
- Suspect
- Speaker diarisation
- Conversation
- Identity (music)
- Set (abstract data type)
- Peace, Justice and strong institutions