DYNAMIC NOISE AND SPEECH REMOVAL

Online audio and video conference applications can utilize a noise removal module to eliminate unwanted audio from a participant's speech. A noise removal module can rely on differentiating between human speech versus other audio to filter out noise. However, in some conference environments, pa...

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Bibliographische Detailangaben
Hauptverfasser:	Hu, Cheng-Lun, Yang, Qi, Deng, Jiachuan, Jia, Zhaofeng, Liu, Qiyong
Format:	Patent
Sprache:	eng
Schlagworte:	ACOUSTICS CALCULATING COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Beschreibung
Zusammenfassung:	Online audio and video conference applications can utilize a noise removal module to eliminate unwanted audio from a participant's speech. A noise removal module can rely on differentiating between human speech versus other audio to filter out noise. However, in some conference environments, participant and non-participant human speech can be present. Artificial intelligence models can be trained to detect both noise and non-participant audio, based on a variety of factors. The models can label captured audio and various noise removal modules can filter noise based on the output of the models.