Voice Signal Processing System

Voice Signal Processing System

Audio data is classified using voice descriptors (ie. desired style or voice quality) by extracting non-semantic speech features (eg. pitch, tone, volume, facial expression, gestures, body language) from vocal samples, generating a reduced representation of the vocal sample and then applying a train...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: André Ferreira Gil, Matthias Eichner, Felix Schaeffler
Format: Patent
Sprache:eng
Schlagworte:
ACOUSTICS
MUSICAL INSTRUMENTS
PHYSICS
SPEECH ANALYSIS OR SYNTHESIS
SPEECH OR AUDIO CODING OR DECODING
SPEECH OR VOICE PROCESSING
SPEECH RECOGNITION
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Beschreibung
Zusammenfassung:Audio data is classified using voice descriptors (ie. desired style or voice quality) by extracting non-semantic speech features (eg. pitch, tone, volume, facial expression, gestures, body language) from vocal samples, generating a reduced representation of the vocal sample and then applying a trained model to predict the voice descriptor (eg. warm, professional, serious, conversational, direct, clear, friendly, natural, sensual, trustworthy, formal, see fig. 8). A second trained model may be applied to an intermediate representation based on a vocal profile (eg. vocal tract, muscular tension or phonetic features).