Bhiksha raj phd thesis

Bhiksha raj phd thesis

MGs1 ¸ \(íF 0 00 j s 01 ! MGs1 ¸ \(íF 0 00 j s 01 ! The Audio and Acoustics group conducts research in audio processing and speech enhancement, 3D audio perception and technologies, devices for audio capture and rendering, array processing, information extraction from audio signals

Audio and Acoustics Research Group - Microsoft Research

The Audio and Acoustics group conducts research in audio processing and speech enhancement, 3D audio perception and technologies, devices for audio capture and rendering, array processing, information extraction from audio signals. The mission of the Audio and Acoustics Group is to develop state of the art algorithms and designs for audio processing, bhiksha raj phd thesis, speech enhancement, 3D audio capture and rendering.

We also work on the better acoustical design of audio devices, bhiksha raj phd thesis, such as microphones and loudspeakers. We conduct research in the area of information retrieval from audio signals, such as speaker identification, emotion detection, etc.

Our goal is to create technologies enabling natural interaction with computers with speech and audio. Contact for the Audio and Acoustics Research Group is Ivan Tashev.

Geometry-constrained Beamforming Network for end-to-end Farfield Sound Source Separation. Kuan-Jung Chiang, University of California — San Diego, USA. A Closed-loop Adaptive Brain-computer Interface framework.

Midia Yosefi, University of Texas, Dallas, USA. Audio-based Toxic Language Detection. Shoken Kaneko, University of Maryland, College Park, USA. Forest Sound Scene Simulation and Bird Localization with Distributed Microphone Arrays.

Wenkang An, Carnegie Mellon University, USA. Supervised Deep Hashing for Efficient Audio Retrieval. Benjamin Martinez Elizalde, Carnegie Mellon University, USA. Sound event recognition for video-content analysis. Fabian Brinkmann, Technical University of Berlin, Germany. Efficient and Perceptually Plausible 3-D Sound for Virtual Reality. Hakim Si Mohammed, INRIA Rennes, France. Improving the Ergonomics and User-Friendliness of SSVEP-based BCIs in Virtual Reality.

Md Tamzeed Islam, University of North Carolina at Chapel Hill, USA. Anthropometric Feature Estimation using Sensors on Headphone for HRTF Personalization. Morayo Ogunsina, Penn Bhiksha raj phd thesis Erie, USA. Hearing Bhiksha raj phd thesis App for Sound-Based User Surrounding Awareness. Nicholas Huang, Johns Hopkins University, USA. Decoding Auditory Attention Via the Auditory Steady-State Response for Use in A Brain-Computer Interface.

Sahar Hashemgeloogerdi, University of Rochester, USA. Integrating Beamforming and Multichannel Linear Prediction for Dereverberation and Denoising. Decoding Multisensory Attention from Electroencephalography for Use in a Brain-Computer Interface. Yangyang Raymond Xia, Carnegie Mellon University, USA.

Real-time Single-channel Speech Enhancement with Recurrent Neural Networks. Deep Neural Network Models for Audio Quality Assessment. Andrea Genovese, New York University Steinhardt, USA. Blind Room Parameter Estimation in Real Time from Single-Channel Audio Signals in Noisy Conditions. A Cross-modal Audio Search Engine based on Joint Audio-Text Embeddings. Chen Song, University at Buffalo, the State University of New York, USA.

Sensor Fusion for Learning-based Motion Estimation in VR. Christoph F. Hold, Technische Universität Berlin, Germany. Improvements on Higher Order Ambisonics Reproduction in the Spherical Harmonics Domain Under Real-time Constraints. Harishchandra Dubey, University of Texas at Dallas, USA. Sebastian Braun, Friedrich-Alexander University bhiksha raj phd thesis Erlangen Nuremberg FAUGermany. Speech Enhancement Using Linear and Non-linear Spatial Filtering for Head-mounted Displays.

Spatial Audio Feature Discovery Using a Neural Network Classifier. Articulated Human Bhiksha raj phd thesis Tracking with Inertial Sensors. Srinivas Parthasarathy, University of Texas at Dallas, USA.

Speech Emotion Recognition with Convolutional Neural Networks. Han Zhao, Carnegie Mellon University, USA. High-Accuracy Neural-Network Models for Speech Enhancement. Jong Hwan Ko, Georgia Institute of Technology, USA. Efficient Neural-Network Design for Real-Time Speech Enhancement.

Rasool Fakoor, University of Texas at Arlington, USA. Speech Enhancement With and Without Gradient Descent. Yan-hui Tu, University of Science and Technology of China, P, bhiksha raj phd thesis. Regression Based Speech Enhancement bhiksha raj phd thesis Neural Networks. Ultrasound Based Gesture Recognition. Vani Rajendran, University of Oxford, UK. Simple Effects that Enhance the Elevation Perception in Spatial Sound.

Zhong-Qiu Wang, Ohio State University, bhiksha raj phd thesis. Emotion, gender, and age recognition from speech utterances using neural networks. Applications of 3-Dimensional Spherical Transforms to Acoustics and Personalization of Head-related Transfer Functions HRTFs. Supreeth Krishna Rao, Worcester Polytechnic Institute, USA.

Ultrasound Doppler Radar. Seyedmahdad Mirsamadi, University of Texas at Dallas, USA. DNN-based Online Speech Enhancement Using Multitask Learning and Suppression Rule Estimation. Long Le, University of Illinois at Urbana-Champaign, USA. Spatial Probability for Sound Source Localization.

Emotion Detection from Speech Signals. Felicia Lim, Imperial College London, UK. Blind Estimation of Reverberation Parameters. Ultrasound Depth Imaging. Piotr Bilinski, INRIA, France, bhiksha raj phd thesis. HRTF Personalization Using Anthropometric Features. Kun Han, Ohio State University, USA. Open-set Speaker Identification on Noisy, Short Utterances. Jason Wung, Georgia Tech, USA.

Next Steps in Multi-Channel Acoustic Echo reduction for Xbox Kinect. Xing Li, University of Washington, USA. Dynamic Loudness Control for In-Car Audio. Binaural Sound Source Localization. A Step Towards NUI: Speaker Verification for Gaming Scenarios. Surface hydroacoustics August 1, June 15, July 28, June 24, Skip to Header Skip to Search Skip to Content Skip to Footer.

Return to Microsoft Research Lab bhiksha raj phd thesis Redmond Audio and Acoustics Research Group. Hearing in 3D with Dr. Ivan Tashev. Is Sound the Secret Sauce for Making Immersive Experiences? Researchers use head related transfer functions to personalize audio in mixed and virtual reality. Creating a personalized, immersive audio environment.

Be There: 3D Audio Virtual Presence video. Cities Unlocked: Lighting up the world through sound video. Virtual Reality May Become the Bhiksha raj phd thesis Great Media Platform—But Can It Fool All Five Senses? Immersive 3D Soundscapes. Microsoft 3D audio tech makes virtual sounds sound real. Audio Advances Help Xbox One Determine Signal from Noise.

Submitting my PhD Thesis

, time: 22:12

MGs1 ¸ \(íF 0 00 j s 01 ! MGs1 ¸ \(íF 0 00 j s 01 ! The Audio and Acoustics group conducts research in audio processing and speech enhancement, 3D audio perception and technologies, devices for audio capture and rendering, array processing, information extraction from audio signals