APPARATUS, METHODS AND COMPUTER PROGRAMS FOR TRAINING MACHINE LEARNING MODELS

A machine learning model is trained to enable high quality spatial audio metadata to be obtained even from microphone arrays. First and second input data for the machine learning model based on two or more microphone signals, the target device (eg. a mobile phone) and spatial distributions is captur...

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Bibliographische Detailangaben
Hauptverfasser:	VILKAMO, Juha Tapio, HONKALA, Mikko Johannes
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	ACOUSTICS ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING MUSICAL INSTRUMENTS PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION STEREOPHONIC SYSTEMS TESTING
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Beschreibung
Zusammenfassung:	A machine learning model is trained to enable high quality spatial audio metadata to be obtained even from microphone arrays. First and second input data for the machine learning model based on two or more microphone signals, the target device (eg. a mobile phone) and spatial distributions is captured and processed to obtain spatial metadata (eg. source direction or directionality) which is used in turn to render the signal.