Audio and acoustics

Publication

Serialized Output Training for End-to-End Overlapped Speech Recognition

Naoyuki Kanda, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Takuya Yoshioka

Interspeech 2020 | October 2020

Project Project

Publication

An Open Source Implementation of ITU-T Recommendation P.808 with Validation

Babak Naderi, Ross Cutler

2020 Conference of the International Speech Communication Association | October 2020

Publication

DNN No-Reference PSTN Speech Quality Prediction

Gabriel Mittag, Ross Cutler, Yasaman Hosseinkashi, Michael Revow, Sriram Srinivasan, Naglakshmi Chande, Robert Aichner

2020 Conference of the International Speech Communication Association | October 2020

Publication

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Chandan K. A. Reddy, Vishak Gopal, Ross Cutler, Ebrahim Beyrami, Roger Cheng, Harishchandra Dubey, Sergiy Matusevych, Robert Aichner, Ashkan Aazami, Sebastian Braun, Puneet Rana, Sriram Srinivasan, Johannes Gehrke

Interspeech | October 2020

Project

Group

AI For Good Lab

The Microsoft AI For Good team helps researchers and organizations reach solutions on some of the world’s biggest problems. Providing technology, resources, and expertise to empower those working to solve humanitarian issues to create a…

Publication

Data augmentation and loss normalization for deep noise suppression

Sebastian Braun, Ivan Tashev

International Conference on Speech and Computer (SPECOM) | October 2020

Project

Publication

An End-to-end Architecture of Online Multi-channel Speech Separation

Jian Wu, Zhuo Chen, Jinyu Li, Takuya Yoshioka, Zhili Tan, Ed Lin, Yi Luo , Lei Xie

Interspeech | October 2020

Publication

Neural Speech Separation Using Spatially Distributed Microphones

Dongmei Wang, Zhuo Chen, Takuya Yoshioka

Interspeech | October 2020

Project

Publication

Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency

Matt Whitehill, Shuang Ma, Daniel McDuff, Yale Song

INTERSPEECH | October 2020

Video

Recent Efforts Towards Efficient And Scalable Neural Waveform Coding

September 29, 2020 | Kai Zhen

Acoustic signal compression techniques, converting the floating-point waveform into the bitstream representation, serve a cornerstone in the current data storage and telecommunication infrastructure. The rise of data-driven approaches for acoustic coding systems brings in not…

50:36