Fast Audio Filtering
Cut through large amounts of audio files quickly with the automatic identification of gender and easily filter out the speech recordings belonging to either a male or female.
Cut through large amounts of audio files quickly with the automatic identification of gender and easily filter out the speech recordings belonging to either a male or female.
Segment speakers automatically based on their gender so that you can target and evaluate your campaigns better by considering the gender of your customers.
Improve your business with informed, data-driven decisions leveraging the automatically gathered statistics about the ratio of calling males and females.
Technology Details
• Uses the acoustic characteristics of human speech
• Speech is converted into frequency spectra and modeled using advanced statistical methods
• Is language-, accent-, text-, and channel-independent
• Applies state-of-the-art channel compensation techniques compatible with the broadest range of audio sources possible: GSM/CDMA, 3G, VoIP, landlines, satellite phones, etc.
• WAV or RAW (PCM unsigned 8 or 16 bits, IEEE float 32-bit, A-law or Mu-law, ADPCM), FLAC, OPUS; 8 kHz+ sampling (other audio formats are automatically converted)
• Recommended Speech Length for Identification: 7+ seconds
• XML/JSON format with all results
• Results files with processed information (scores for male and female)
Detects the gender of speakers in any language as the technology is language independent.
Approximately 200x faster than real-time processing on 1 CPU core with the most precise model—for example, a standard 8 CPU core server processes 38,400 hours of audio in one day of computing time.
Schedule a demo with our experts and see for yourself how Phonexia Gender Identification technology can help your business.
We will show you a free online demo tailored to your needs, showcasing Phonexia speech and voice recognition technologies and the ways you can use them to achieve your project’s goals.