Voice Signatures

  title={Voice Signatures},
  author={Izhak Shafran and Michael Riley and Mehryar Mohri},
Most current spoken-dialog systems only extract sequences of words from a speaker’s voice. This largely ignores other useful information that can be inferred from speech such as gender, age, dialect, or emotion. These characteristics of a speaker’s voice, voice signatures, whether static or dynamic, can be useful for speech mining applications or for the design of a natural spoken-dialog system. This paper explores the problem of extracting automatically and accurately voice signatures from a… CONTINUE READING
Highly Cited
This paper has 87 citations. REVIEW CITATIONS
59 Citations
23 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 59 extracted citations

87 Citations

Citations per Year
Semantic Scholar estimates that this publication has 87 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…