Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 11 - 20
of
2,652
Evaluating Content Extraction From Audio Sources
- in ECSA, ETRW Workshop: Accessing Infomation in Spoken Audio
, 1999
"... This paper discusses evaluation of content extraction from audio sources. The most straightforward approach is to adapt existing methods for written sources to handle audio input. A transcription then becomes the representation of the audio source in written form; it must capture the word stream, bu ..."
Abstract
-
Cited by 6 (0 self)
- Add to MetaCart
This paper discusses evaluation of content extraction from audio sources. The most straightforward approach is to adapt existing methods for written sources to handle audio input. A transcription then becomes the representation of the audio source in written form; it must capture the word stream
Audio Source Separation: Solutions and Problems
, 2002
"... this paper, the authors review the methods based around Independent Component Analysis (ICA), discussing the various choices available in algorithm design. We then explore the issue of sensitivity to speaker movement which appears to impose fundamental limitations on BSS performance ..."
Abstract
-
Cited by 8 (0 self)
- Add to MetaCart
this paper, the authors review the methods based around Independent Component Analysis (ICA), discussing the various choices available in algorithm design. We then explore the issue of sensitivity to speaker movement which appears to impose fundamental limitations on BSS performance
Parametric Joint-Coding of Audio Sources
"... This convention paper has been reproduced from the author’s advance manuscript, without editing, corrections, or consideration by the Review Board. The AES takes no responsibility for the contents. Additional papers may be ..."
Abstract
-
Cited by 6 (0 self)
- Add to MetaCart
This convention paper has been reproduced from the author’s advance manuscript, without editing, corrections, or consideration by the Review Board. The AES takes no responsibility for the contents. Additional papers may be
AUDIO SOURCE SEPARATION USING SPARSITY
"... In this paper, we are interested in blind source separation from instantaneous mixtures of audio signals. Using the sparsity property of audio signals, we propose an iterative method that relies on a relative gradient technique which minimizes a contrast function based on the ℓp norm. This norm is c ..."
Abstract
- Add to MetaCart
In this paper, we are interested in blind source separation from instantaneous mixtures of audio signals. Using the sparsity property of audio signals, we propose an iterative method that relies on a relative gradient technique which minimizes a contrast function based on the ℓp norm. This norm
A general modular framework for audio source separation
- in "Proc. 9th Int. Conf. on Latent Variable Analysis and Signal Separation (LVA/ICA
"... Abstract. Most of audio source separation methods are developed for a particular scenario characterized by the number of sources and channels and the characteristics of the sources and the mixing process. In this paper we introduce a general modular audio source separation framework based on a libr ..."
Abstract
-
Cited by 8 (4 self)
- Add to MetaCart
Abstract. Most of audio source separation methods are developed for a particular scenario characterized by the number of sources and channels and the characteristics of the sources and the mixing process. In this paper we introduce a general modular audio source separation framework based on a
Audio Source Separation using Independent Component Analysis
, 2004
"... 2004 Audio source separation is the problem of automated separation of audio sources present in a room, using a set of differently placed microphones, capturing the auditory scene. The whole problem resembles the task a human can solve in a cocktail party situation, where using two sensors (ears), t ..."
Abstract
-
Cited by 6 (2 self)
- Add to MetaCart
2004 Audio source separation is the problem of automated separation of audio sources present in a room, using a set of differently placed microphones, capturing the auditory scene. The whole problem resembles the task a human can solve in a cocktail party situation, where using two sensors (ears
Consistent Wiener Filtering for Audio Source Separation
, 2012
"... Wiener filtering is one of the most ubiquitous tools in signal processing, in particular for signal denoising and source separation. In the context of audio, it is typically applied in the timefrequency domain by means of the short-time Fourier transform (STFT). Such processing does generally not ta ..."
Abstract
-
Cited by 8 (0 self)
- Add to MetaCart
Wiener filtering is one of the most ubiquitous tools in signal processing, in particular for signal denoising and source separation. In the context of audio, it is typically applied in the timefrequency domain by means of the short-time Fourier transform (STFT). Such processing does generally
Results 11 - 20
of
2,652
