TASLP
2010
13 years 2 months ago
2010
Reproducing a sampled sound field using an array of loudspeakers is a problem with well-appreciated applications to acoustics and ultrasound treatment. Loudspeaker signal design ha...
TASLP
2010
13 years 2 months ago
2010
Abstract--This paper presents a model for machine aided human translation (MAHT) that integrates source language text and target language acoustic information to produce the text t...
TASLP
2010
13 years 2 months ago
2010
In the presence of environmental noise, speakers tend to adjust their speech production in an effort to preserve intelligible communication. The noise-induced speech adjustments, c...
TASLP
2010
13 years 2 months ago
2010
In this paper, the issue of audio source separation from a single channel is addressed, i.e. the estimation of several source signals from a single observation of their mixture. Th...
TASLP
2010
13 years 2 months ago
2010
We introduce two new methods for the demodulation of acoustic signals by posing the problem in a convex optimization framework. This allows the parameters of the modulator and carr...
TASLP
2010
13 years 2 months ago
2010
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
TASLP
2010
13 years 2 months ago
2010
Indexing audio signals directly in the transform domain can potentially save a significant amount of computation when working on a large database of signals stored in a lossy compr...
TASLP
2010
13 years 2 months ago
2010
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
TASLP
2010
13 years 2 months ago
2010
We present an approach to music identification based on weighted finite-state transducers and Gaussian mixture models, inspired by techniques used in large-vocabulary speech recogn...
TASLP
2010
13 years 2 months ago
2010
Abstract--We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of sourc...