Speaker Recognition Technology for Meeting Recording Applications
TurboScribe's speaker recognition system uses voiceprint biometric analysis to extract each individual's vocal characteristics through the Mel Frequency Cepstrum Coefficient (MFCC). Even without pre-recorded voiceprint samples, it can accurately differentiate between different speakers in a multi-person meeting with a recognition accuracy of 92.7%. The system assigns an individual ID to each voiceprint feature and allows for later renaming to a real name.
This technology has three major optimizations for meeting scenarios: 1) automatically generating conversation records with speaker tags, avoiding the fuzzy labeling of "Speaker A/ Speaker B" in traditional transcription; 2) supporting the retrieval of key speeches by speakers, for example, quickly locating all the presentations made by a certain executive; 3) combining with the timestamp function, you can (3) Combined with the timestamp function, it can accurately jump to a specific person's speaking slot for review. Tests show that the system maintains a voiceprint differentiation accuracy of over 90% in meetings with less than 8 people.
Advanced features also include: sentiment analysis markers (e.g., [excitedly]), speech duration statistics, and turn-taking analysis, which are extremely valuable for conference efficiency evaluation. The system is especially optimized for teleconferencing scenarios and can effectively recognize the voice characteristics of remote access users.
This answer comes from the articleTurboScribe: Online tool to quickly convert audio and video to textThe
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