微软研究院
Researching how sound is captured, processed, and understood, from speech recognition to spatial audio.
The goal of speech enhancement is to take the audio signal from a microphone, clean it and forward clean audio to multiple clients such as speech-recognition software, archival databases and speakers.
We present SoundWave, a technique that leverages the speaker and microphone already embedded in most commodity devices to sense in-air gestures around the device.
Work in this area seeks to use computational tools to enable musical creativity, in particular to give novices a variety of new approaches to experience musical creativity.
Want to Give MySong a Try? MySong is now Songsmith; you can download a free trial (or the full version, if you’re a teacher who wants to use it in your classroom) at: http://research.microsoft.com/songsmith Happy…
We present data-driven methods for supporting musical creativity by capturing the statistics of a musical database. Specifically, we introduce a system that supports users in exploring the high-dimensional space of musical chord sequences by parameterizing…
Overview This page contains supplementary material for our AAAI 2010 paper: “User-Specific Learning for Recognizing a Singer’s Intended Pitch”. The full citation for our paper follows, along with a link to the paper itself: Guillory…
Sensing technologies have been steadily gaining popularity since they can provide useful and complementary data in Human Computer Interaction (HCI) algorithms. In this study, we explore the feasibility of using ultrasonic imaging to recognize hand…
