Sciweavers

ICASSP
2011
IEEE
12 years 11 months ago
Combining monaural source separation with Long Short-Term Memory for increased robustness in vocalist gender recognition
We present a novel and unique combination of algorithms to detect the gender of the leading vocalist in recorded popular music. Building on our previous successful approach that e...
Felix Weninger, Jean-Louis Durrieu, Florian Eyben,...
JMLR
2010
227views more  JMLR 2010»
13 years 5 months ago
PyBrain
PyBrain is a versatile machine learning library for Python. Its goal is to provide flexible, easyto-use yet still powerful algorithms for machine learning tasks, including a vari...
Tom Schaul, Justin Bayer, Daan Wierstra, Yi Sun, M...
NECO
2002
106views more  NECO 2002»
13 years 7 months ago
Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM
In response to Rodriguez' recent article (2001) we compare the performance of simple recurrent nets and "Long Short-Term Memory" (LSTM) recurrent nets on context-fr...
Jürgen Schmidhuber, Felix A. Gers, Douglas Ec...
NCI
2004
132views Neural Networks» more  NCI 2004»
13 years 8 months ago
A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition
In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN) capable of robustly categorizing timewarped speech data. We measure ...
Alex Graves, Nicole Beringer, Jürgen Schmidhu...
BIOADIT
2004
Springer
13 years 11 months ago
Biologically Plausible Speech Recognition with LSTM Neural Nets
Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
Alex Graves, Douglas Eck, Nicole Beringer, Jü...