Patent US 6,111,183

Patent №

US 6,111,183

Granted

Owner

Lab

AI components

2

ml · speech

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

09390918

The present invention describes methods and means for estimating the time-varying spectrum of an audio signal based on a conditional probability density function (PDF) of spectral coding vectors conditioned on pitch and loudness values. Using this PDF a time-varying output spectrum is generated as a function of time-varying pitch and loudness sequences arriving from an electronic music instrument controller. The time-varying output spectrum is converted to a synthesized output audio signal. The pitch and loudness sequences may also be derived from analysis of an input audio signal. Methods and means for synthesizing an output audio signal in response to an input audio signal are also described in which the time-varying spectrum of an input audio signal is estimated based on a conditional probability density function (PDF) of input spectral coding vectors conditioned on input pitch and loudness values. A residual time-varying input spectrum is generated based on the difference between the estimated input spectrum and the "true" input spectrum. The residual input spectrum is then incorporated into the synthesis of the output audio signal. A further embodiment is described in which the input and output spectral coding vectors are made up of indices in vector quantization spectrum codebooks.

Machine learningSpeechG10H 7/002G10H 2240/056G10H 2250/111G10H 2250/135G10H 2250/235G10H 2250/581

AI classification

Speech1.00
Machine learning0.58
Natural language0.04
AI hardware0.00
Vision0.00
Planning0.00
Evolutionary computation0.00
Knowledge representation0.00
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