Bistra Andreeva

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The hidden Markov modelling experiments presented in this paper show that consonant identification results can be improved substantially if a neural network is used to extract linguistically relevant information from the acoustic signal before applying hidden Markov modelling. The neural network – or in this case a combination of two Kohonen networks –(More)
This paper describes three cross-language ASR experiments which use hidden Markov modelling. The first one shows that consonant identification improves when vowel transitions are used. In particular, the consonants' place of articulation is identified better, because the vowel transitions contain formant trajectories which depend on the consonant's place of(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)
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)
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)
Based on specific linguistic landmarks in the speech signal, this study investigates pitch level and pitch span differences in English, German, Bulgarian and Polish. The analysis is based on 22 speakers per language (11 males and 11 females). Linear mixed models were computed that include various linguistic measures of pitch level and span, revealing(More)
The reduction of the six Bulgarian vowels (i, ɛ, a, ɜ, ɔ, u) to a four-or (in some dialects) three-vowel subsystem (i, (ɜ), ɜ, u) in unstressed syllables is generally accepted. But a number of studies disagree on the exact nature of the reduction process. Claims differ as to whether or not /a/ merges phonetically with /ɜ/, and /ɔ/ with /u/, or whether the(More)
The present article describes a corpus which was collected for the cross-language comparison of prominence. In the data analysis, the acoustic-phonetic properties of words spoken with two different levels of accentuation (de-accented and nuclear accented in non-contrastive narrow-focus) are examined in question-answer elicited sentences and iterative(More)