Sciweavers

ICASSP
2011
IEEE
12 years 8 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 3 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 4 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 6 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 8 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...