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Version: 3.7.0

Gender Identification

Gender Identification is a language-, domain-, and channel-independent technology that uses the acoustic characteristics of recordings to determine the gender of a speaker as either male or female.

This technology can process audio files and voiceprints, see the Input data section.

Typical use cases​

  • Filtering calls by the speakers' gender,
  • Playing advertisements targeted to persons of a specific gender,
  • Performing quick demographic analysis of recordings.

Input data​

The technology supports both multi-channel audio files and Base64-encoded voiceprints. To learn more about voiceprints, refer to this section of the documentation.

  • Recommended minimum speech signal for identification: 3+ seconds.

Output​

  • Gender Identification score: The probability that the speaker in the recording is of the given gender. Probability values can range from 0.0 to 1.0.

Performance​

  • Speed: Up to ~80 times faster than real-time (~1100x on GPU).