Repustate's audio content analysis tool makes your audio files easily searchable by semantically indexing the content of your data. Users can search your entire audio catalog for the exact content they want without any manual tagging on your end.
Semantic Search for audio provides customer service teams, marketing departments, and heads of sales the power to search for audios by specific topics, themes, and entities. These entities include celebrities, politicians, locations, and more. Semantic Search automatically annotates your data with semantic analysis information without any additional training requirements. Just plug it in and get to work!
With Semantic Search, find anything you need at the click of a button. Say goodbye to hours spent listening to audio files and have access to what you need at your fingertips.
Repustate extracts semantic insights from your audio content using a multi-phase approach:
Convert audio to text through the use of speech-to-text models. These models are unique to each language and are built using neural networks. This yields a transcript of the speech along with the timestamps for each word
Index the text into Semantic Search for audio section by section
Audio can be broken up into smaller sections based on longer pauses or changes in the speaker. By analyzing it section by section, we get enough context to disambiguate entities, but not too much content as to lose the ability to associate entities with granular enough timestamps.
Audio content analysis highlights the entities found at each timestamp, allowing the user to scrub to the exact point they want for the precise content they want.
Like all of Repustate's products, Semantic Search for audio is supported in over 20 languages including English, Spanish, French, and Arabic.