FT Speech: Danish Parliament Speech Corpus

Kirkedal, Andreas Søeborg; Stepanović, Marija; Plank, Barbara

doi:10.21437/interspeech.2020-3164

Cited by 9 publications

(9 citation statements)

References 16 publications

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“…Identifying word embeddings requires much larger amounts of text than the corpora in our study provide. Although the genre of conversations arguably is not akin to that of online encyclopedias, no sufficiently largescale corpus of conversational Danish is yet available to create reliable word embeddings representations (Kirkedal et al, 2019;Strømberg-Derczynski et al, 2020). Each word was associated with the 300 values identifying its position in the 300-dimension vector space of the word, and we averaged word embeddings within each utterance.…”

Section: Statistical Analysesmentioning

confidence: 99%

Quantifying the interplay of conversational devices in building mutual understanding.

Dideriksen¹,

Christiansen²,

Tylén³

et al. 2023

Journal of Experimental Psychology: General

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Humans readily engage in idle chat and heated discussions and negotiate tough joint decisions without ever having to think twice about how to keep the conversation grounded in mutual understanding. However, current attempts at identifying and assessing the conversational devices that make this possible are fragmented across disciplines and investigate single devices within single contexts. We present a comprehensive conceptual framework to investigate conversational devices, their relations, and how they adjust to contextual demands. In two corpus studies, we systematically test the role of three conversational devices: backchannels, repair, and linguistic entrainment. Contrasting affiliative and task-oriented conversations within participants, we find that conversational devices adaptively adjust to the increased need for precision in the latter: We show that low-precision devices such as backchannels are more frequent in affiliative conversations, whereas more costly but higher-precision mechanisms, such as specific repairs, are more frequent in task-oriented conversations. Further, task-oriented conversations involve higher complementarity of contributions in terms of the content and perspective: lower semantic entrainment and less frequent (but richer) lexical and syntactic entrainment. Finally, we show that the observed variations in the use of conversational devices are potentially adaptive: pairs of interlocutors that show stronger linguistic complementarity perform better across the two tasks. By combining motivated comparisons of several conversational contexts and theoretically informed computational analyses of empirical data the present work lays the foundations for a comprehensive conceptual framework for understanding the use of conversational devices in dialogue.

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Section: Statistical Analysesmentioning

confidence: 99%

Quantifying the interplay of conversational devices in building mutual understanding.

Dideriksen¹,

Christiansen²,

Tylén³

et al. 2023

Journal of Experimental Psychology: General

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“…Finally, compared to results achieved on the other parliament corpora in Table 1 , our models perform in the same 5%-20% WER range. The authors of Croatian (Ljubešić et al, 2022 ), Czech (Kratochvil et al, 2020 ), Danish (Kirkedal et al, 2020 ), and Icelandic (Helgadóttir et al, 2017 ) Parliament Corpora each trained a TDNN acoustic model using Kaldi and combined it with an in-domain n-gram language model similar to our work. Their test set WER results for this model combination are 16.38%, 7.1%, 14.01%, and 16.38%.…”

Section: Analysis and Discussionmentioning

confidence: 99%

“…One of the earliest examples is the MediaParl Corpus for French and German spoken in the Swiss Valais Parliament by Imseng et al ( 2012 ). In recent years, public corpora based on parliament records has also been created for Icelandic (Helgadóttir et al, 2017 ), Bulgarian (Geneva et al, 2019 ), Danish (Kirkedal et al, 2020 ), Czech (Kratochvil et al, 2020 ), Swiss German (Plüss et al, 2020 ), Croatian (Ljubešić et al, 2022 ), and Norwegian (Solberg & Ortiz, 2022 ). Various event recordings from the European Parliament have also served as raw material for two multi-lingual corpora.…”

Section: Related Workmentioning

confidence: 99%

Finnish parliament ASR corpus

Virkkunen

Rouhe

Phan

et al. 2023

Lang Resources & Evaluation

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Public sources like parliament meeting recordings and transcripts provide ever-growing material for the training and evaluation of automatic speech recognition (ASR) systems. In this paper, we publish and analyse the Finnish Parliament ASR Corpus, the most extensive publicly available collection of manually transcribed speech data for Finnish with over 3000 h of speech and 449 speakers for which it provides rich demographic metadata. This corpus builds on earlier initial work, and as a result the corpus has a natural split into two training subsets from two periods of time. Similarly, there are two official, corrected test sets covering different times, setting an ASR task with longitudinal distribution-shift characteristics. An official development set is also provided. We developed a complete Kaldi-based data preparation pipeline and ASR recipes for hidden Markov models (HMM), hybrid deep neural networks (HMM-DNN), and attention-based encoder-decoders (AED). For HMM-DNN systems, we provide results with time-delay neural networks (TDNN) as well as state-of-the-art wav2vec 2.0 pretrained acoustic models. We set benchmarks on the official test sets and multiple other recently used test sets. Both temporal corpus subsets are already large, and we observe that beyond their scale, HMM-TDNN ASR performance on the official test sets has reached a plateau. In contrast, other domains and larger wav2vec 2.0 models benefit from added data. The HMM-DNN and AED approaches are compared in a carefully matched equal data setting, with the HMM-DNN system consistently performing better. Finally, the variation of the ASR accuracy is compared between the speaker categories available in the parliament metadata to detect potential biases based on factors such as gender, age, and education.

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“…Three studies are concerned with the nature and timing of the creakiness that characterizes stød, and Kirkedal (2016) studied the importance of stød for automatic speech recognition.…”

Section: The Most Recent Studies 2015-2022mentioning

confidence: 99%

Three quarters of a century of phonetic research on common Danish stød

Grønnum

2022

Nord J Linguist

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Despite many attempts, we do not yet know how to answer the question exhaustively and adequately: What is common Danish stød phonetically? Specifically, is there an underlying physiological constancy behind the considerable acoustic variability? And is there a common denominator to the different acoustic manifestations that might explain their perceptual equivalence? Systematic acoustic, physiological, and perceptual investigations of common Danish stød now span (a little more than) three quarters of a century. This is a review of that research, to determine what may be considered established phonetic facts about common Danish stød and the open questions that remain for future research.

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FT Speech: Danish Parliament Speech Corpus

Cited by 9 publications

References 16 publications

Quantifying the interplay of conversational devices in building mutual understanding.

Quantifying the interplay of conversational devices in building mutual understanding.

Finnish parliament ASR corpus

Three quarters of a century of phonetic research on common Danish stød

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