Open Access

The newest generation of speech technology caused a huge increase of audio-visual data nowadays being enhanced with orthographic transcripts such as in automatic subtitling in online platforms. Research data centers and archives contain a range of new and historical data, which are currently only partially transcribed and therefore only partially accessible for systematic querying. Automatic Speech Recognition (ASR) is one option of making that data accessible. This paper tests the usability of a state-of-the-art ASR-System on a historical (from the 1960s), but regionally balanced corpus of spoken German, and a relatively new corpus (from 2012) recorded in a narrow area. We observed a regional bias of the ASR-System with higher recognition scores for the north of Germany vs. lower scores for the south. A detailed analysis of the narrow region data revealed – despite relatively high ASR-confidence – some specific word errors due to a lack of regional adaptation. These findings need to be considered in decisions on further data processing and the curation of corpora, e.g. correcting transcripts or transcribing from scratch. Such geography-dependent analyses can also have the potential for ASR-development to make targeted data selection for training/adaptation and to increase the sensitivity towards varieties of pluricentric languages.

This paper introduces the Aix Map Task corpus, a corpus of audio and video recordings of task-oriented dialogues. It was modelled after the original HCRC Map Task corpus. Lexical material was designed for the analysis of speech and prosody, as described in Astésano et al. (2007). The design of the lexical material, the protocol and some basic quantitative features of the existing corpus are presented. The corpus was collected under two communicative conditions, one audio-only condition and one face-to-face condition. The recordings took place in a studio and a sound attenuated booth respectively, with head-set microphones (and in the face-to-face condition with two video cameras). The recordings have been segmented into Inter-Pausal-Units and transcribed using transcription conventions containing actual productions and canonical forms of what was said. It is made publicly available online.

Feedback utterances are among the most frequent in dialogue. Feedback is also a crucial aspect of linguistic theories that take social interaction, involving language, into account. This paper introduces the corpora and datasets of a project scrutinizing this kind of feedback utterances in French. We present the genesis of the corpora (for a total of about 16 hours of transcribed and phone force-aligned speech) involved in the project. We introduce the resulting datasets and discuss how they are being used in on-going work with focus on the form-function relationship of conversational feedback. All the corpora created and the datasets produced in the framework of this project will be made available for research purposes.

To date, little is known about prosodic accommodation and its conversational functions in instances of overlapping talk in conversation. A major conversational action that happens in overlap is turn competition. It is not known whether participants accommodate prosodic parameters locally in the overlapped turn (initialisation) or access a repertoire of prosodic patterns that refer to general prosodic parameter norms (normalisation) when competing for the turn in overlap. This paper investigates the initialisation and normalisation of fundamental frequency (f0) and assesses its role as a resource for turn competition in overlap. We drew instances of overlapping talk from a corpus of conversational multi-party interactions in British English. We annotated the overlaps on a competitiveness scale and categorised them by overlap onset position and conversational function. We automatically extracted f0 parameters from the speech signal and processed them into f0 accommodation features that represent the normalising or the initialising use of f0. Using decision tree classification we found that f0 accommodation is only relevant as a turn competitive resource in overlaps that start clearly before a speaker transition. In this turn context, we found that normalising and initialising f0 features can both be relevant turn competitive resources. Their deployment depends on the conversational function of overlap.

Prosodic constructions used to compete for the speaking turn in conversation have been widely studied (French & Local (1983), Kurtić et al. (2013)). Usually, turn competition arises in overlapping talk between at least two speakers. Coordination between participants in their prosodic design of talk (Szczepek-Reed, 2006) and social action (Gorisch et al. 2012), as well as entrainment in more general terms (Levitan et al. 2011), is well established in the literature. Nevertheless, previous studies on turn competition and overlap do not investigate the prosodic design of turn competitive incomings in reference to the orientation of the speakers to each other. Rather, they assume that prosodic constructions are used for turn competition regardless of the co-participants’ design of the turn. In this paper, we ask whether the prosodic design of turn competitive talk is co-constructed between two participants talking in overlap. More specifically, we investigate whether the prosodic design of one participant’s in overlap talk is developed with respect to the interlocutor’s prosodic features during the same portion of overlapped talk, and whether this prosodic matching can discriminate between the overlaps that are competitive and those that are not. 183 Our analyses are based on two-speaker overlaps drawn from a corpus of multi-party face-to face conversation between four friends recorded in British English (Kurtic et al. 2012). 3407 instances of twospeaker overlaps have been extracted from 4 hours of talk. Two independent conversation analysts performed the interactional categorisation of overlaps into competitive and non-competitive for all these two-speaker overlap instances and achieved a good agreement of alpha=0.807 (Krippendorff 2004) as measured on a subset of 808 overlaps selected for our initial analysis. For the analysis of prosodic features we focus on F0 related features: mean, slope, span and contour, all of which have previously been shown to be used by each overlapping speaker separately for turn competition (Kurtic et al. 2009; Oertel et al. 2012). We investigate the similarity in F0 mean, slope and span by correlating these features across the two participants. For F0 contour, a similarity coefficient is computed using dynamic programming method described in Gorisch et al. (2012). We consider the difference in F0 contour similarity in competitive and non-competitive overlaps as an indication of intonational matching being a turn competitive resource. We conduct these analyses for overlaps that are clearly competitive or noncompetitive as indicated by inter-annotator agreement. In addition, we qualitatively explore those cases that annotators disagree on in order to investigate whether they reveal further important interactional or prosodic features of in-overlap talk. Our preliminary results suggest that conversational participants attend and adapt to the interlocutor during overlap depending on whether they return competition or not. We explain our findings in relation to previous work on turn competition in overlap, discuss the quantitative method employed and also address the possible consequences of our results for the study of prosodic realization of other social actions in conversation.