Academia Sinica

Syu-Siang Wang

Yu Tsao

Hsin-Min Wang

Szu-Wei Fu

Tsao Yu

Alexander Chao-Fu Kang

An acoustic scene conversion method, comprising: receiving sound signals including user's speech and scenic sounds; processing the sound signals according to an artificial intelligence model to generate enhanced speech signals without scenic sounds; and mixing the enhanced speech signals with new scenic sounds to produce converted sound signals.

Method and apparatus and telephonic system for acoustic scene conversion

A system is provided to realize suppression by selecting wavelets for feature compression in distributed speech recognition. The system comprises a first device and a second device. The first device comprising: a first network module for connecting to a network; an acoustic transducer module for recording speech and outputting frames of recorded signal; and a first processor configured for the following: extracting multiple-dimensional speech features from the frames of the recorded signal to generate multiple feature sequences; applying discrete wavelet transform (DWT) to the feature sequences to obtain a plurality of component data; and transmitting at least one of the plurality of component data via the network, wherein another one of the plurality of component data is not transmitted. The second device comprising: a second network module for connecting to the network and receiving the at least one of the plurality of component data from the first device; and a second processor configured for the following: updating the received data to generate an updated data; and applying inverse discrete wavelet transform (IDWT) to the updated data to obtain reconstructed speech data.

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Taipei, Taiwan

Syu-Siang Wang