Diarization

Diarization is a process in speech processing that involves segmenting an audio recording into distinct sections based on the speaker's identity. It aims to identify and separate parts of the audio where different individuals are speaking, thereby attributing segments of speech to specific speakers. Diarization is crucial for applications such as transcription services, meeting analysis, and voice recognition systems, catering primarily to industries needing accurate speaker identification and segmentation in audio data.

Diarization was discovered on July 11th 2024 and it currently has a search volume of 9.9K with a growth of +750%.