Keyword Spotting

Phonexia Keyword Spotting (KWS) technology automatically identifies the occurrences of specific keywords and keyphrases in audio recordings.

Topic Detection

Identify the topics of calls and audio recordings automatically based on the appearance of specific keywords and keyphrases in the speech.
Fast Audio Search

Cut through large amounts of audio recordings quickly with the automatic detection of spoken keywords and find what you need faster.
Voice Enablement

Ensure that voicebots can quickly understand the context of the given voice command by checking for appropriate keywords in the speech.

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

• Uses the robust acoustic-based approach applicable even in noisy environments
• Keywords are automatically converted into phonemes and searched for
• 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.
• Users can add an unlimited number of keywords and pronunciation variants for each keyword

Input Requirements

Audio File:
• 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)

List of Keywords
Output Formats

• XML/JSON format with all results
• Results files containing details about the detected keywords (keyword, start/end time, path, probability, etc.)
Supported Languages

Arabic (Gulf), Arabic (Levantine), Bengali, Chinese Mandarin, Croatian, Czech, Dutch, English (US), Farsi, French, Georgian, German, Hungarian, Italian, Kazakh, Pashto, Polish, Russian, Serbian, Slovak, Spanish, Swedish, Turkish, Ukrainian, Vietnamese.