May 10, 2023

作者：机器学习组 编者按：如果问华语乐坛近期产量最高的歌手是谁，“AI 孙燕姿”一定有姓名。歌迷们先用歌手的音色训练 AI，再通过模型将其他歌曲转换成以歌手音色“翻唱”的歌曲。语音合成技术是“AI 孙燕姿”的背后支持。广义的语音合成包含文本到语音合成（Text to Speech，TTS）、声音转换等。在 TTS 领域，微软亚洲研究院机器学习组和微软 Azure 语音团队早已深耕多年，并在近期推出...

May 10, 2023

In this issue: Microsoft researchers win four more awards; AutoRXN automates calculations of molecular systems; LLM accelerator losslessly improves the efficiency of autoregressive decoding; a frequency domain approach to predict power system transients.

May 9, 2023

ICSE 是软件工程领域公认的权威国际学术顶会。自1975年创办以来，ICSE 大会持续为研究人员和相关从业者输送着软件工程领域中最新的理论创新、技术趋势与研究成果。本届 ICSE 大会接受了多篇来自微软亚洲研究院的成果，在云计算高速发展的当下，更需要研究员们不断深耕，发掘研究洞见，为云平台的高质量运行保驾护航。 论文链接：https://www.microsoft.com/en-us/resea...

May 4, 2023 | Tim Pearce, Tabish Rashid, Anssi Kanervisto, Dave Bignell, Mingfei Sun, Raluca Stevenson, Sergio Valcarcel Macua, Shanzheng Tan, Ida Momennejad, Katja Hofmann, and Sam Devlin

Diffusion models have been used to generate photorealistic images and short videos, compose music, and synthesize speech. In a new paper, Microsoft Researchers explore how they can be used to imitate human behavior in interactive environments.

May 4, 2023 | Jessica Maghakian, Akanksha Saran, Cheng Tan, and Paul Mineiro

In reinforcement learning, handcrafting reward functions is difficult and can yield algorithms that don’t generalize well. IGL-P, an interaction-grounded learning strategy, learns personalized rewards for different people in recommender system scenarios.