Acoustic microphone geometry calibration: An overview and experimental evaluation of state-of-the-art algorithms
Today, we are often surrounded by devices with one or more microphones, such as
smartphones, laptops, and wireless microphones. If they are part of an acoustic sensor …
smartphones, laptops, and wireless microphones. If they are part of an acoustic sensor …
Estimation of room acoustic parameters: The ACE challenge
Reverberation time (T 60) and Direct-to-reverberant ratio (DRR) are important parameters
which together can characterize sound captured by microphones in nonanechoic rooms …
which together can characterize sound captured by microphones in nonanechoic rooms …
Blind reverberation time estimation using a convolutional neural network
The reverberation time of an acoustic environment is a useful parameter for applications
including source localisation, speech recognition and mixed reality. However, estimating the …
including source localisation, speech recognition and mixed reality. However, estimating the …
Automatic music mixing with deep learning and out-of-domain data
Music mixing traditionally involves recording instruments in the form of clean, individual
tracks and blending them into a final mixture using audio effects and expert knowledge (eg …
tracks and blending them into a final mixture using audio effects and expert knowledge (eg …
From speech-to-speech translation to automatic dubbing
We present enhancements to a speech-to-speech translation pipeline in order to perform
automatic dubbing. Our architecture features neural machine translation generating output …
automatic dubbing. Our architecture features neural machine translation generating output …
Online reverberation time and clarity estimation in dynamic acoustic conditions
Previously proposed methods for estimating acoustic parameters from reverberant, noisy
speech signals exhibit insufficient performance under changing acoustic conditions. A data …
speech signals exhibit insufficient performance under changing acoustic conditions. A data …
Duration modeling of neural tts for automatic dubbing
Automatic dubbing (AD) addresses the problem of translating speech in a video with speech
in another language while preserving the viewer experience. A most important requirement …
in another language while preserving the viewer experience. A most important requirement …
UWB channel impulse responses for positioning in complex environments: A detailed feature analysis
Radio signal-based positioning in environments with complex propagation paths is a
challenging task for classical positioning methods. For example, in a typical industrial …
challenging task for classical positioning methods. For example, in a typical industrial …
Machine translation verbosity control for automatic dubbing
Automatic dubbing aims at seamlessly replacing the speech in a video document with
synthetic speech in a different language. The task implies many challenges, one of which is …
synthetic speech in a different language. The task implies many challenges, one of which is …
[HTML][HTML] Evaluating and optimizing prosodic alignment for automatic dubbing
Automatic dubbing aims at replacing all speech contained in a video with speech in a
different language, so that the result sounds and looks as natural as the original. Hence, in …
different language, so that the result sounds and looks as natural as the original. Hence, in …