| 摘要 |
PROBLEM TO BE SOLVED: To appropriately estimate the number of sound sources even under a condition close to an actual environment.SOLUTION: A number of sound sources estimation device B extracts, from an observation signal derived by observing with M microphones, a mixed signal in which signals from N sound sources are mixed, a feature vector xthat corresponds to an observation signal vector ycomprising the time-frequency component of each observation signal. Then, the number of sound sources estimation device B applies the feature vector xτω to a prescribed probability model, estimates the model parameter of the probability model by using an evaluation function that gives a higher evaluation value in correspondence to the degree of synchronization of the time series of likelihood of each sound source between frequency bins, and calculates by using the model parameter, posterior probability which is conditional probability that the observation signal vector ybelongs to each of the clusters set in greater number than the N sound sources. Thereafter, the number of sound sources estimation device B calculates the sum total of posterior probability of each cluster by using the posterior probability, and estimates the number of sound sources on the basis of the sum total of posterior probability of each cluster.SELECTED DRAWING: Figure 3 |
