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Ph@ttSessionz and Deutsch heute are two large German speech databases. They were created for different purposes: Ph@ttSessionz to test Internet-based recordings and to adapt speech recognizers to the voices of adolescent speakers, Deutsch heute to document regional variation of German. The databases differ in their recording technique, the selection of recording locations and speakers, elicitation mode, and data processing.
In this paper, we outline how the recordings were performed, how the data was processed and annotated, and how the two databases were imported into a single relational database system. We present acoustical measurements on the digit items of both databases. Our results confirm that the elicitation technique affects the speech produced, that f0 is quite comparable despite different recording procedures, and that large speech technology databases with suitable metadata may well be used for the analysis of regional variation of speech.
This chapter will present lessons learned from CLARIN-D, the German CLARIN national consortium. Members of the CLARIN-D communities and of the CLARIN-D consortium have been engaged in innovative, data-driven, and community-based research, using language resources and tools in the humanities and neigh-bouring disciplines. We will present different use cases and users’ stories that demonstrate the innovative research potential of large digital corpora and lexical resources for the study of language change and variation, for language documentation, for literary studies, and for the social sciences. We will emphasize the added value of making language resources and tools available in the CLARIN distributed research infrastructure and will discuss legal and ethical issues that need to be addressed in the use of such an infrastructure. Innovative technical solutions for accessing digital materials still under copyright and for data mining such materials will be presented. We will outline the need for close interaction with communities of interest in the areas of curriculum development, data management, and training the next generation of digital humanities scholars. The importance of community-supported standards for encoding language resources and the practice of community-based quality control for digital research data will be presented as a crucial step toward the provisioning of high quality research data. The chapter will conclude with a discussion of impor-tant directions for innovative research and for supporting infrastructure development over the next decade and beyond.
We investigated the effect of high-variability training (HVT) on the production and perception of French bilabial voiced and voiceless stops by German native speakers. Stop consonants in the two languages differ with respect to several articulatory and acoustic features. German learners of French (Experiment Group) trained the perception of word-initial bilabial stops spoken by six French native speakers using identification tests, whereas subjects of a Control Group did not perform a training. Additional perception and production tests of French words including bilabial, alveolar, and velar stops in all word positions were performed to capture the impact of HVT. Subjects were found to be quite good at distinguishing voiced and voiceless stops. However, voiceless stops received lower correctness scores than voiced ones and subjects of the Experiment group were able to further increase their scores after training. Results for production are mirror-inverted showing that subjects of the Experiment Group successfully produced longer negative VOT values but did not show an improvement for voiceless stops.