Jonas Lööf
RWTH Aachen University
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Publication
Featured researches published by Jonas Lööf.
ieee automatic speech recognition and understanding workshop | 2007
Björn Hoffmeister; Christian Plahl; Peter Fritz; Georg Heigold; Jonas Lööf; Ralf Schlüter; Hermann Ney
This paper describes the development of the RWTH Mandarin LVCSR system. Different acoustic front-ends together with multiple system cross-adaptation are used in a two stage decoding framework. We describe the system in detail and present systematic recognition results. Especially, we compare a variety of approaches for cross-adapting to multiple systems. During the development we did a comparative study on different methods for integrating tone and phoneme posterior features. Furthermore, we apply lattice based consensus decoding and system combination methods. In these methods, the effect of minimizing character instead of word errors is compared. The final system obtains a character error rate of 17.7% on the GALE 2006 evaluation data.
international conference on acoustics, speech, and signal processing | 2006
Jonas Lööf; Hermann Ney; Srinivasan Umesh
In this paper we present an efficient and flexible approach to VTLN warping factor estimation. Due to the equivalence of frequency warping and linear transformation of cepstral coefficients, warping factors can be efficiently estimated by accumulating the sufficient statistics for linear transformation estimation, and searching the constrained space of transformations given by the explicit mapping between warping factors and linear transformation matrices. We show that the positive effect of using a properly normalized optimization criterion for warping factor estimation, which has been previously demonstrated for a signal analysis front-end without a filterbank, carries over to a MFCC front-end, resulting in a net improvement in word error rate
spoken language technology workshop | 2010
Jonas Lööf; Daniele Falavigna; Ralf Schlüter; Diego Giuliani; Roberto Gretter; Hermann Ney
This paper describes two different automatic transcription systems developed for judicial application domains for the Polish and Italian languages. The judicial domain requires to cope with several factors which are known to be critical for automatic speech recognition, such as: background noise, reverberation, spontaneous and accented speech, overlapped speech, cross channel effects, etc.
conference of the international speech communication association | 2009
David Rybach; Christian Gollan; Georg Heigold; Björn Hoffmeister; Jonas Lööf; Ralf Schlüter; Hermann Ney
conference of the international speech communication association | 2007
Jonas Lööf; Christian Gollan; Stefan Hahn; Georg Heigold; Björn Hoffmeister; Christian Plahl; David Rybach; Ralf Schlüter; Hermann Ney
conference of the international speech communication association | 2009
Jonas Lööf; Christian Gollan; Hermann Ney
conference of the international speech communication association | 2006
Jonas Lööf; Maximilian Bisani; Christian Gollan; Georg Heigold; Björn Hoffmeister; Christian Plahl; Ralf Schlüter; Hermann Ney
conference of the international speech communication association | 2009
Christian Plahl; Björn Hoffmeister; Georg Heigold; Jonas Lööf; Ralf Schlüter; Hermann Ney
conference of the international speech communication association | 2008
Christian Plahl; Björn Hoffmeister; Mei-Yuh Hwang; D. Lu; Georg Heigold; Jonas Lööf; Ralf Schlüter; Hermann Ney
Archive | 2009
Daniele Falavigna; Diego Giuliani; Roberto Gretter; Jonas Lööf; Christian Gollan; Ralf Schlüter; Hermann Ney