Spectrogram Analysis

Speaker diarization is a process in natural language processing that involves segmenting an audio recording into distinct speaker segments and assigning unique identifiers to each speaker. It enables systems to distinguish who spoke when, facilitating tasks such as transcription, speaker analysis, and conversational analytics. This technology is crucial for understanding multi-user conversations and improving the accuracy of speech-based applications.