Abstract
In this paper we study the feasibility for the deployment of Distributed Speech Recognition (DSR) technology on today’s mobile phones using publicly available tools and architectures. The existing standards for DSR front-ends are presented and discussed; arguments for the choice of an appropriate standard for a deployment on the particular platform are given. We point out hindrances and pitfalls during development and deployment. Standard conform solutions for the two most prominent development environments, Symbian C++ and Java Micro Edition, are presented and evaluated on real end-user devices.
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Speech Processing, Transmission and Quality Aspects (STQ); Distributed Speech Recognition; Front-end Feature Extraction Algorithm; Compression Algorithm. ETSI Standard ES 201 108 (2000)
Speech Processing, Transmission and Quality Aspects (STQ); Distributed Speech Recognition; Advanced Front-end Feature Extraction Algorithm; Compression Algorithm. ETSI Standard ES 202 050 (2002)
Distributed Speech Recognition; Extended Advanced Front-end Feature Extraction Algorithm; Compression Algorithm, Back-end Speech Reconstruction Algorithm. ETSI Standard ES 202 212 (2003a)
Distributed Speech Recognition; Extended Front-end Feature Extraction Algorithm; Compression Algorithm, Back-end Speech Reconstruction Algorithm. ETSI Standard ES 202 211 (2003b)
Digital cellular telecommunications system (Phase 2+); Universal Mobile Telecommunications System (UMTS); ANSI C code for the fixed-point distributed speech recognition extended advanced front-end. ETSI Technical Specification TS 126 243 (2004)
Burileanu, C., Popescu, V.: An efficient distributed speech recognition frontend implementation using a Motorola Star Core 140 based platform. In: Volume du Symposion International d’Electronique et Télécommunications, ETC 2004, University of Timisoara, Romania (2004)
Hirsch, H.-G., Pearce, D.: The AURORA experimental framework for the performance evaluation of speech recognition systems under noisy conditions. In: Proc. ISCA ITRW ASR2000, Paris, France, pp. 181–188 (2000)
Macho, D., Mauuary, L., Noe, B., Cheng, Y., Eahey, D., Jouvet, D., Kelleher, H., Pearce, D., Saadoun, F.: Evaluation of a noise-robust DSR front-end on AURORA databases. In: Proc. ICSLP, pp. 17–20 (2002)
Mauuary, L.: Blind equalization in the cepstral domain for robust telephone based speech recognition. In: Proc. EUSPICO 1998, pp. 359–363 (1998)
Xu, H., Tan, Z.-H., Dalsgaard, P., Mattethat, R., Lindberg, B.: A configurable distributed speech recognition system. In: Proc. of the 9th European Conference on Speech Communication and Technology (2005)
Zaykovskiy, D., Schmitt, A.: Java (J2ME) front-end for distributed speech recognition. In: AINAW 2007: Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops, pp. 353–357. IEEE Computer Society Press, Los Alamitos (2007)
Zaykovskiy, D., Schmitt, A., Lutz, M.: New Use of Mobile Phones: Towards Multimodal Information Access Systems. In: 3rd IET International Conference on Intelligent Environments, Ulm, Germany (2007)
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© 2008 Springer-Verlag Berlin Heidelberg
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Zaykovskiy, D., Schmitt, A. (2008). Deploying DSR Technology on Today’s Mobile Phones: A Feasibility Study. In: André, E., Dybkjær, L., Minker, W., Neumann, H., Pieraccini, R., Weber, M. (eds) Perception in Multimodal Dialogue Systems. PIT 2008. Lecture Notes in Computer Science(), vol 5078. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69369-7_17
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DOI: https://doi.org/10.1007/978-3-540-69369-7_17
Publisher Name: Springer, Berlin, Heidelberg
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