Phonexia Language Identification (LID) speech technology automatically recognizes the language and dialect of a speaker.
Cut through large amounts of audio files quickly with the automatic identification of a language and easily locate the speech recordings containing the language of your interest.
Categorize and segment speakers automatically based on their language and dialect so that you can make better business decisions and greatly improve customer experiences.
Offer impressive voicebot experiences by making sure that voicebots can seamlessly recognize the language of a speaker and communicate with them in the same language.
Technology Details
• Is text- and channel-independent
• Applies state-of-the-art channel compensation techniques, verified by NIST evaluation, compatible with the broadest range of audio sources possible: GSM/CDMA, 3G, VoIP, landlines, satellite phones, etc.
• New languages can be added to the system without any assistance from Phonexia—at least 20 hours of audio recordings are recommended for new language training
• 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 a logarithm of probabilities scoring (-∞;0)
• Percentage metric scoring <0-100%>
Approximately 20x faster than real-time processing on 1 CPU core with the most precise model—for example, a standard 8 CPU core server processes 3,840 hours of audio in one day of computing time.
Afan_Oromo, Albanian, Amharic, Arabic, Arabic_Gulf, Arabic_Iraqi, Arabic_Levantine, Arabic_Maghrebi, Arabic_MSA, Azerbaijani, Bangla_Bengali, Bosnian, Burmese, Chinese_Cantonese, Chinese_Dialects, Chinese_Mandarin, Creole, Croatian, Czech, Dari, English_American, English_British, English_Indian, Farsi, French, Georgian, German, Greek, Hausa, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Khmer, Kirundi_Kinyarwanda, Korean, Lao, Macedonian, Ndebele, Pashto, Polish, Portuguese, Punjabi, Russian, Serbian, Shona, Slovak, Somali, Spanish, Swahili, Swedish, Tagalog, Tamil, Thai, Tibetan, Tigrigna, Turkish, Ukrainian, Urdu, Uzbek, Vietnamese
Schedule a demo with our experts and see for yourself how Phonexia Language 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.
