Annika Hämäläinen

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Articulatory and acoustic reduction can manifest itself in the temporal and spectral domains. This study introduces a measure of spectral reduction, which is based on the speech decoding techniques commonly used in automatic speech recognizers. Using data for four frequent Dutch affixes from a large corpus of spontaneous face-to-face conversations, it(More)
Standard automatic speech recognition (ASR) systems use acoustic models typically trained with speech of young adult speakers. Ageing is known to alter speech production in ways that require ASR systems to be adapted, in particular at the level of acoustic modeling. This paper reports ASR experiments that illustrate the impact of speaker age on speech(More)
The PaeLife project is a European industry-academia collaboration whose goal is to provide the elderly with easy access to online services that make their life easier and encourage their continued participation in the society. To reach this goal, the project partners are developing a multimodal virtual personal life assistant (PLA) offering a wide range of(More)
Recent research on the TIMIT corpus suggests that longer-length acoustic units are better suited for modelling coarticulation and long-term temporal dependencies in speech than conventional context-dependent phone models. However, the impressive results achieved on TIMIT [1] are yet to be reproduced on other corpora, such as read speech from the Spoken(More)
Recent research on the TIMIT database suggests that longer-length acoustic units are better suited for modelling pronunciation variation and long-term temporal dependencies in speech than traditional phoneme-length units, yielding substantial improvements in recognition accuracy [9]. In this paper, we investigate whether similar improvements can be gained(More)
Recent research suggests that modeling coarticulation in speech is more appropriate at the syllable level. However, due to a number of additional factors that affect the way syllables are articulated, creating multiple paths through syllable models might be necessary. Our previous research on longer-length multi-path models in connected digit recognition(More)
Recent research suggests that it is more appropriate to model pronunciation variation with syllable-length acoustic models than with triphones. Due to the large number of factors contributing to pronunciation variation at the syllable level, the creation of multi-path model topologies appears necessary. In this paper, we construct multi-path models using(More)
This paper presents a study of European Portuguese elderly speech, in which the acoustic characteristics of two groups of elderly speakers (aged 60-75 and over 75) are compared with those of young adult speakers (aged 19-30). The correlation between age and a set of 14 acoustic features was investigated, and decision trees were used to establish the(More)
Recent research suggests that it is more appropriate to model pronunciation variation with syllable-length acoustic models than with context-dependent phones. Due to the large number of factors contributing to pronunciation variation at the syllable level, the creation of multi-path model topologies appears necessary. In this paper, we propose a novel(More)