Bistra Andreeva

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By mapping acoustic parameters onto phonetic features, it is possible to explicitly address the linguistic information in the signal. For the experiments presented in this paper, we mapped cepstral parameters onto two sets of phonetic features, one based on the IPA chart and the other on SPE. As a result, the phoneme identification rates in a hidden Markov(More)
This article presents preliminary results indicating that speakers have a different pitch range when they speak a foreign language compared to the pitch variation that occurs when they speak their native language. To this end, a learner corpus with French and German speakers was analyzed. Results suggest that speakers indeed produce a smaller pitch range in(More)
1. Introduction It can be taken for granted that the first language (L1) influences the target language to be learned (L2) on all linguistic levels including the lexicon, morphosyntax, pragmatics and, most pertinent to the proposed corpus, sound structure and its phonetic implementation (e.g. Flege & Davidian 1984, Flege 1995). A typical example of L1-L2(More)
This study presents the results of a large-scale comparison of various measures of pitch range and pitch variation in two Slavic (Bulgarian and Polish) and two Germanic (German and British English) languages. The productions of twenty-two speakers per language (eleven male and eleven female) in two different tasks (read passages and number sets) are(More)
We present the design of a corpus of native and non-native speech for the language pair French-German, with a special emphasis on phonetic and prosodic aspects. To our knowledge there is no suitable corpus, in terms of size and coverage, currently available for the target language pair. To select the target L1-L2 interference phenomena we prepare a small(More)
The acoustic-phonetic properties of words spoken with three different levels of accentuation (de-accented, pre-nuclear and nuclear accented in broad-focus and nuclear accented in narrow-focus) are examined in question-answer elicited sentences and iterative imitations (on the syllable da) produced by six French and six German speakers. Normalised parameter(More)
This study investigates cross-language differences in pitch range and variation in four languages from two language groups: English and German (Germanic) and Bulgarian and Polish (Slavic). The analysis is based on large multi-speaker corpora (48 speakers for Polish, 60 for each of the other three languages). Linear mixed models were computed that include(More)
This article discusses the use of phonetic features in automatic speech recognition. The phonetic features are derived from acoustic parameters by means of Kohonen networks. Behind the use of phonetic features instead of standard acoustic parameters lies the assumption that it is useful to help the system to focus on linguistically relevant signal(More)