Search Results for author:
Found 9 papers, 2 papers with code
Blind Localization of Room Reflections with Application to Spatial Audio
Additionally, performance in terms of perception is investigated through a listening test.
Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations
Can conversational videos captured from multiple egocentric viewpoints reveal the map of a scene in a cost-efficient way?
Towards Improved Room Impulse Response Estimation for Speech Recognition
We propose a novel approach for blind room impulse response (RIR) estimation systems in the context of a downstream application scenario, far-field automatic speech recognition (ASR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Direct and Residual Subspace Decomposition of Spatial Room Impulse Responses
This work proposes a subspace method that decomposes SRIRs into a direct part, which comprises the direct sound and the salient reflections, and a residual, to facilitate enhanced analysis and rendering methods by providing individual access to these components.
SAQAM: Spatial Audio Quality Assessment Metric
Audio quality assessment is critical for assessing the perceptual realism of sounds.
SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning
We introduce SoundSpaces 2. 0, a platform for on-the-fly geometry-based audio rendering for 3D environments.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Visual Acoustic Matching
We introduce the visual acoustic matching task, in which an audio clip is transformed to sound like it was recorded in a target environment.
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant Speech
Deep learning approaches have emerged that aim to transform an audio signal so that it sounds as if it was recorded in the same room as a reference recording, with applications both in audio post-production and augmented reality.
DPLM: A Deep Perceptual Spatial-Audio Localization Metric
Subjective evaluations are critical for assessing the perceptual realism of sounds in audio-synthesis driven technologies like augmented and virtual reality.
