TASLP
2008
13 years 11 months ago
2008
This work presents an experimental evaluation of different features for use in speaker identification. The features are tested using speech data provided by the CHAINS corpus, in a...
TASLP
2008
13 years 11 months ago
2008
Abstract--This paper is concerned with the automatic recognition of dialogue acts (DAs) in multiparty conversational speech. We present a joint generative model for DA recognition ...
TASLP
2008
13 years 11 months ago
2008
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
TASLP
2008
13 years 11 months ago
2008
Abstract--During a music performance, the musician adds expressiveness to the musical message by changing timing, dynamics, and timbre of the musical events to communicate an expre...
TASLP
2008
13 years 11 months ago
2008
Wireless networks introduce brand new opportunities for music delivery. The trend of using mobile devices in wireless networks, can significantly extent the recent change of paradi...
TASLP
2008
13 years 11 months ago
2008
Abstract--An audio fingerprint is a compact yet very robust representation of the perceptually relevant parts of an audio signal. It can be used for content-based audio identificat...
TASLP
2008
13 years 11 months ago
2008
The predominant melodic source, frequently the singing voice, is an important component of musical signals. In this paper, we describe a method for extracting the predominant sourc...
TASLP
2008
13 years 11 months ago
2008
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
TASLP
2008
13 years 11 months ago
2008
Abstract--In a distributed speech recognition (DSR) framework, the speech features are quantized and compressed at the client and recognized at the server. However, recognition acc...
TASLP
2008
13 years 11 months ago
2008
In this paper, we evaluate the performance of several objective measures in terms of predicting the quality of noisy speech enhanced by noise suppression algorithms. The objective ...