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AI Audio Analytics

AI-powered audio analytics to convert audio files into business intelligence.

Convert audio files into business intelligence with AI-powered audio analytics.

Speech-to-text Transcription

Speech-to-text Transcription

Transcribe audio files using sophisticated natural language processing and speaker detection to provide a true-to-conversation text file. Learn more.

Audio Classification

Audio Classification

Reduce manual efforts in audio analytics with categorization and labeling of audio files into groups based on rules or identified similarities. Learn more.

Speaker Identification

Speaker Identification

Identify and denote specific speakers from across your data to properly annotate your audio files for a more thorough analysis and easier search. Learn more.

Language Identification

Language Identification

Analyze and extract content from audio files in over 40 prominent languages and dialects from around the globe. Learn more.

Event Detection

Event Detection

IDOL audio analytics uses machine learning models to identify and notify when events needing action occur to reduce response times. Learn more.

Dive deeper. Discover more.

  • Audio Classification

    Audio Classification

    Audio Classification

    Audio Classification

    IDOL audio classification is an automatic, or manually trained, process of categorizing audio files or portions of files into groups based on specific rules or automatically identified similarities to reduce manual efforts in analysis of audio files. IDOL audio classification is used across industries to improve accuracy and wholistic understanding within audio files.

    Audio Classification
  • Speaker Identification

    Speaker Identification

    Speaker Identification

    Speaker Identification

    IDOL audio analytics can identify and denote specific known speakers from across your entire data set to properly annotate your audio files for a more thorough analysis and easier search.

    Speaker Identification
  • Event Detection

    Event Detection

    Event Detection

    Event Detection

    A baby crying, a gunshot, or changes in roadside audio are all examples of audible events that require action. Manually monitoring for these sounds is not always possible, especially if the audio comes from multiple sources. IDOL audio analytics uses machine learning models to identify and notify when these events occur to reduce response times and enforce safety.

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release/rel-2021-10-2-7002
Wed Oct 20 19:44:43 PDT 2021