Learning apparatus, estimation apparatus, learning method, estimation method and program

A learning device comprising:

• a processor;
• a storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by the processor, perform processing of:
• performing learning of a mathematical model of a learning target using a first audio signal and a second audio signal,
• wherein the learning target is a disentangling model that estimates, on a basis of an embedding vector of one of two input audio signals and an embedding vector of an other, a high similarity set that is a set in which a degree of similarity between an embedding vector of the one and an embedding vector of the other in an audio feature amount space that is a space indicating a distribution of a feature amount of an embedding vector of an audio signal is relatively high, and a low similarity set that is a set in which a degree of the similarity in the audio feature amount space is relatively low,
• the disentangling model includes separation processing of, on a basis of an embedding vector of one of two input audio signals and an embedding vector of an other, separating both an embedding vector of the one in the audio feature amount space and an embedding vector of the other in the audio feature amount space into the high similarity set and the low similarity set, and
• the computer program instructions perform processing of updating the disentangling model such that a difference between the high similarity sets obtained by the separation processing is made small and a difference between the low similarity sets obtained by the separation processing is made large in the learning.