Automatic Speaker Separation
Find out with ease how many speakers are in an audio recording and separate them from each other automatically to see clearly which of them was speaking and when.
Find out with ease how many speakers are in an audio recording and separate them from each other automatically to see clearly which of them was speaking and when.
Increase security and uncover fraudulent activities by automatically detecting when someone else joins a conversation pretending to be the person who started it originally.
Improve the accuracy and speed of other Phonexia speech and voice biometric technologies by segmenting speaker data into unified streams, making it easier to process.
What People Are Saying
Phonexia has a close relationship with the Brno University of Technology, which helps it maintain a strong commitment to innovative technology and forward-looking strategies. Phonexia's focus on innovation will make it a prominent global player. With over 15 years on the market, Phonexia is committed to being a leader in the global voice biometrics industry.
We have been selling Phonexia products in the Asian market for over 3 years now, and we can clearly say that Phonexia products are by far the best ones in the global market. We have encountered some local and global competitors, but we can easily push them off the table by showing how strong and affordable Phonexia products are. Phonexia’s strength comes from a mixture of dedicated genius engineers and down-to-earth, smart business experts who can draw big pictures.
Technology Details
• Trained with an emphasis on spontaneous telephone conversations
• 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).
• XML/JSON format with all results
• Results files with the segmentation of speech, silence, and technical signals (eliminating phone lines beeps, DTMF tones, music, etc.)
• Audio file extracted per each speaker
Identifies the appearances of speakers in any language as the technology is language independent.
Schedule a demo with our experts and see for yourself how Phonexia Speaker Diarization 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.