Automatic Speech Recognition
Automatic Speech Recognition (ASR) is the technology that converts spoken language into text. While modern ASR models have achieved high accuracy in transcription, they often lack the ability to distinguish between multiple speakers in a single audio stream.
Key Components
- Transcription: The core process of converting audio waves to text.
- Speaker Diarization: The process of determining “who spoke when” in an audio recording. This is critical for multi-speaker contexts where standard ASR outputs a single, undifferentiated text stream.
- Post-Processing: Cleaning and formatting the raw transcription output.
Recent Developments
- Nemotron 3 Diarization: NVIDIA has introduced Nemotron 3 Diarization to address the gap in multi-speaker identification.
- Provides accurate speaker segmentation and identification.
- Complements standard ASR by adding speaker labels to the transcript.
- See Nemotron 3 Diarization: Accurate Speaker Identification for Multi-Speaker Audio for detailed analysis.