Daniel Soutner

发表

On Continuous Space Word Representations as Input of LSTM Language Model

Ludek Müller, Daniel Soutner, 2015, SLSP.

A Regularization Post Layer: An Additional Way How to Make Deep Neural Networks Robust

Jan Zelinka, Daniel Soutner, Jan Vanek, 2017, SLSP.

Recurrent Neural Network Based Speaker Change Detection from Text Transcription Applied in Telephone Speaker Diarization System

Ludek Müller, Zbynek Zajíc, Vlasta Radová, 2018, TSD.

Towards Processing of the Oral History Interviews and Related Printed Documents

Ludek Müller, Zbynek Zajíc, Daniel Soutner, 2018, LREC.

Inter-Annotator Agreement on Spontaneous Czech Language - Limits of Automatic Speech Recognition Accuracy

Daniel Soutner, Jan Svec, Lubos Smídl, 2014, TSD.

Application of LSTM Neural Networks in Language Modelling

Ludek Müller, Daniel Soutner, L. Müller, 2013, TSD.

Neural Network Language Model with Cache

Ludek Müller, Daniel Soutner, Ales Prazák, 2012, TSD.

On a Hybrid NN/HMM Speech Recognition System with a RNN-Based Language Model

Jan Zelinka, Ludek Müller, Daniel Soutner, 2014, SPECOM.

Web Text Data Mining for Building Large Scale Language Modelling Corpus

Daniel Soutner, Jan Svec, Jan Hoidekr, 2011, TSD.

Continuous Distributed Representations of Words as Input of LSTM Network Language Model

Ludek Müller, Daniel Soutner, L. Müller, 2014, TSD.