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Real-Time Speech Recognition Pipeline
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CASE ANALYSIS
Scenario
Real-time speech recognition pipeline used in call centers to transcribe customer-agent conversations, with voice activity detection (VAD) to filter non-speech segments and post-processing for text normalization.
Key decisions
- Speech detection to decide whether to process an audio segment or wait for more audio
- Handling of silence intervals to avoid unnecessary ASR processing
When to reuse this
any real-time audio processing system that requires reliable voice activity detection and speech-to-text conversion, such as voice assistants, meeting transcription, or live captioning.
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flowchart-real-time-speech-recognition-pipeline-for-call-centers