20.2771, Jobs: Natural Language Processing: Scientist and Engineer, SVOX AG

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LINGUIST List: Vol-20-2771. Fri Aug 14 2009. ISSN: 1068 - 4875.

Subject: 20.2771, Jobs: Natural Language Processing: Scientist and Engineer, SVOX AG

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===========================Directory==============================  

1)
Date: 12-Aug-2009
From: Liu Nana < liu at svox.com >
Subject: Natural Language Processing: Scientist / TTS Language Development Engineer, SVOX AG, Zurich, Switzerland
 

	
-------------------------Message 1 ---------------------------------- 
Date: Fri, 14 Aug 2009 10:53:42
From: Liu Nana [liu at svox.com]
Subject: Natural Language Processing: Scientist / TTS Language Development Engineer, SVOX AG, Zurich, Switzerland

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University or Organization: SVOX AG 
Department: R&D
Job Location: Zurich, Switzerland 
Web Address: http://www.svox.com/

Job Rank: Scientist  

Specialty Areas: Computational Linguistics; General Linguistics; Morphology; Phonetics; Phonology; Syntax; Text/Corpus Linguistics; Natural Language Processing


Description:

Ref. No. ZH-2009-27

Company Profile:
SVOX, a leading supplier of embedded speech solutions, has a reputation for
quality and customer focus. SVOX drives adoption of speech user interfaces
in automotive and mobile device industries. The company offers Speech
Recognition (ASR), Speech Output (TTS) as well as complete Speech Dialog
solutions. SVOX focus on quality and the use of flexible software
architectures allows for optimized embedded speech solutions that can be
easily tailored to customers' technical requirements and market needs. For
more information, please visit the website.

The R&D department consists of a highly international and dynamic team,
with word-class expertise in software engineering, signal processing and
linguistics. We are seeking to strengthen this team with a TTS language
development engineer, with focus on extending and improving our language
portfolio. You will work on existing and new language packages (lingware),
with tasks spanning from troubleshooting and improving lingware, to train
and supervise native experts for developing new lingware. You will also
work on improving existing development tools as well as programming new ones.

Tasks / Responsibilities:
*improving existing tools and writing new ones 
*developing text analysis packages
-text pre-processing
-morphological analysis
-syntactical analysis
-phonological modeling
-accentuation and phrasing modeling
*developing/improving signal generation packages
-prepare text material for recordings
-supervising recordings
-creating speech databases
-analyzing and identifying problem units in the speech synthesis module
-setting up tools to replace or improve problem units
*managing lingware development/update projects
-linguistic pre-study of language to develop
-recruiting temporary language specialists
-training and supervising specialist throughout the 
*development project
-planning time and resources
-reintegrating results and version control 
-responding to specific customer project needs

Qualifications and Expert Knowledge: 
-Masters degree in linguistics, computer science or related field 
-2+ years experience in text-to-speech technology
-Experience with version control systems (e.g. SVN) is desirable 
-Experience with issue tracking systems (e.g. Trac) is desirable 
-Good programming and scripting skills 
- Experience in project management and/or supervision is a plus

Personal Requirements: 
-Profound interest in speech technology and natural language processing 
-Ability to quickly understand complex systems and processes 
-Fluent in English plus at least one other language 
-Hands-on, self-starter and analytic 
-Team player 
-High quality standards 
-Willingness to relocate to Zurich, Switzerland

Start date: October 2009


Application Deadline: 01-Oct-2009 
Mailing Address for Applications: 
	Ariane Kobari 
	Baslerstrasse 30 
	Zurich CH-8048 
	Switzerland  
Email Address for Applications: hr at svox.com 
Contact Information:
	Ariane Kobari 
	Email: hr at svox.com 
	Phone: 0041435440600 



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LINGUIST List: Vol-20-2771