Adrian Leemann

Rhythmic variability between speakers: articulatory, prosodic, and linguistic factors.

Between-speaker variability of acoustically measurable speech rhythm [%V, ΔV(ln), ΔC(ln), and Δpeak(ln)] was investigated when within-speaker variability of (a) articulation rate and (b) linguistic structural characteristics was introduced. To study (a), 12 speakers of Standard German read seven lexically identical sentences under five different intended tempo conditions (very slow, slow, normal, fast, very fast). To study (b), 16 speakers of Zurich Swiss German produced 16 spontaneous utterances each (256 in total) for which transcripts were made and then read by all speakers (4096 sentences; 16 speaker × 256 sentences). Between-speaker variability was tested using analysis of variance with repeated measures on within-speaker factors. Results revealed strong and consistent between-speaker variability while within-speaker variability as a function of articulation rate and linguistic characteristics was typically not significant. It was concluded that between-speaker variability of acoustically measurable speech rhythm is strong and robust against various sources of within-speaker variability. Idiosyncratic articulatory movements were found to be the most plausible factor explaining between-speaker differences.

Swiss German Intonation Patterns

Switzerland is renowned for having a diverse linguistic and dialectal landscape in a comparatively small and confined space. Possibly, this is one of the reasons why Swiss German dialects have been investigated thoroughly on various linguistic levels. Nevertheless, natural speech intonation has, until today, not been examined systematically. The aim of this study is to analyze natural Swiss German fundamental frequency behavior according to linguistic, paralinguistic, and extralinguistic variables, using statistical tests against the backdrop of detecting dialect-specific patterns as well as cross-dialectal differences. The intonation analyses were conducted with the mathematically-formulated Command-Response model. This is the first large-scale study that applies this framework on a large corpus of natural, dialectal speech. This contribution provides a holistic account of the truly multilayered features of natural speech intonation and brings to light detailed underlying patterns of Swiss German dialectal fundamental frequency behavior. The book is mainly targeted at linguists, speech scientists, as well as dialectologists.

Crowdsourcing language change with smartphone applications

Crowdsourcing linguistic phenomena with smartphone applications is relatively new. In linguistics, apps have predominantly been developed to create pronunciation dictionaries, to train acoustic models, and to archive endangered languages. This paper presents the first account of how apps can be used to collect data suitable for documenting language change: we created an app, Dialäkt Äpp (DÄ), which predicts users’ dialects. For 16 linguistic variables, users select a dialectal variant from a drop-down menu. DÄ then geographically locates the user’s dialect by suggesting a list of communes where dialect variants most similar to their choices are used. Underlying this prediction are 16 maps from the historical Linguistic Atlas of German-speaking Switzerland, which documents the linguistic situation around 1950. Where users disagree with the prediction, they can indicate what they consider to be their dialect’s location. With this information, the 16 variables can be assessed for language change. Thanks to the playfulness of its functionality, DÄ has reached many users; our linguistic analyses are based on data from nearly 60,000 speakers. Results reveal a relative stability for phonetic variables, while lexical and morphological variables seem more prone to change. Crowdsourcing large amounts of dialect data with smartphone apps has the potential to complement existing data collection techniques and to provide evidence that traditional methods cannot, with normal resources, hope to gather. Nonetheless, it is important to emphasize a range of methodological caveats, including sparse knowledge of users’ linguistic backgrounds (users only indicate age, sex) and users’ self-declaration of their dialect. These are discussed and evaluated in detail here. Findings remain intriguing nevertheless: as a means of quality control, we report that traditional dialectological methods have revealed trends similar to those found by the app. This underlines the validity of the crowdsourcing method. We are presently extending DÄ architecture to other languages.

The diffusion of /l/-vocalization in Swiss German

Several western Swiss German dialects roughly grouped around the nations capital Bern show /l/ > [u] vocalization in various contexts. The spatial boundaries of /l/-vocalization in Swiss German are suspected to have been expanding since being described in the Linguistic Atlas of German-Speaking Switzerland in the middle of the 20th century. The present study assesses the overall expansion of /l/-vocalization by means of a rapid anonymous survey in 20 urban regional centers situated just beyond the traditional boundaries of /l/-vocalization highlighted by the Atlas. Results show that the expansion of /l/-vocalization mainly progresses in southeasterly, southerly, and westerly directions, but with much less success to the north and northwest, where the equally influential dialectal areas of Basel and Zurich seem to exert opposing influences. Further analysis of the data indicates that somewhat differing constraint hierarchies are at work in the different places to which vocalization has diffused.

Methods in Contemporary Linguistics

The present volume is a broad overview of methods and methodologies in linguistics, illustrated with examples from concrete research. It collects insights gained from a broad range of linguistic sub-disciplines, ranging from core disciplines to topics in cross-linguistic and language-internal diversity or to contributions towards language, space and society. Given its critical and innovative nature, the volume is a valuable source for students and researchers of a broad range of linguistic interests.

Speaker-invariant suprasegmental temporal features in normal and disguised speech

Bern and Zurich German differ in suprasegmental temporal features.Suprasegmental temporal features remain speaker-specific when a speaker imitates a dialect.Successful imitators adjust speaking rate and global peak-to-peak variability, among others.Suprasegmental temporal information can potentially enhance forensic voice comparison. Cases of blackmailing and kidnapping often involve the perpetrator disguising his voice. In the present contribution, we examined the degree to which one exemplary form of voice disguise - the imitation of a foreign dialect - affects suprasegmental temporal features. Results of two production experiments and one perception test revealed high between-speaker and low within-speaker variability across the disguise condition. Results from the perception test further underlined the difficulty of the imitation task, as the majority of speakers were not accepted as native speakers by listeners of the target dialect. At the same time, the high rate of rejections of imitations as authentic speech indicates a high sensitivity and dialectal awareness on the part of the listeners. Findings suggest that those imitators who were accepted as native speakers may have been accepted partly because they succeeded in adjusting speaking rate and global intensity peak variability to that of the target dialect, amongst other factors.

Evolving methods for written representations of signed languages of the Deaf

Like all human languages, signed languages used in Deaf communities are analyzable according to many of the same linguistic models and constructs that are used for oral languages. The signed language linguist, however, is confronted with methodological problems stemming from the visual/corporal modality in which these languages are produced and perceived as well as the pervasive iconicity at all levels of the language. This chapter reviews some of the major methodological problems connected with the written representation of these languages, at the level of the isolated sign as well as signed texts, and then describes some newer projects and methodologies, many of which not only reflect revised theories that more accurately represent these languages but also utilize recent advances in computer and media technologies.

Trends in Phonetics and Phonology

This volume was inspired by the 9th edition of the Phonetik and Phonologie conference, held in Zurich in October 2013. It includes state of the art research on phonetics and phonology in various languages and from interdisciplinary contributors. The volume is structured into the following eight sections: segmentals, suprasegmentals, articulation in spoken and sign language, perception, phonology, crowdsourcing phonetic data, second language speech, and arts (with inevitable overlap between these areas).

Documenting sound change with smartphone apps

Crowdsourcing linguistic phenomena with smartphone applications is relatively new. Apps have been used to train acoustic models for automatic speech recognition (de Vries et al. 2014) and to archive endangered languages (Iwaidja Inyaman Team 2012). Leemann and Kolly (2013) developed a free app for iOS—Dialakt App (DA) (>78k downloads)—to document language change in Swiss German. Here, we present results of sound change based on DA data. DA predicts the users’ dialects: for 16 variables, users select their dialectal variant. DA then tells users which dialect they speak. Underlying this prediction are maps from the Linguistic Atlas of German-speaking Switzerland (SDS, 1962-2003), which documents the linguistic situation around 1950. If predicted wrongly, users indicate their actual dialect. With this information, the 16 variables can be assessed for language change. Results revealed robustness of phonetic variables; lexical and morphological variables were more prone to change. Phonetic variables like to lift (variants: /lupfə, lʏpfə, lipfə/) revealed SDS agreement scores of nearly 85%, i.e., little sound change. Not all phonetic variables are equally robust: ladle (variants: /xaelə, xaellə, xaeuə, xaeɫə, xaeɫɫə/) exhibited significant sound change. We will illustrate the results using maps that show details of the sound changes at hand.

The role of segments and prosody in the identification of a speaker’s dialect

Abstract The objective of this study is to investigate the role of segments, rhythm, and rhythm combined with intonation in the identification of a speaker’s dialect. In a between-subjects design using three conditions, we tested 62 listeners (Zurich Swiss German) in a two-alternative-forced choice dialect identification experiment: in condition one, 21 listeners were asked to identify two dialects (Valais and Bern Swiss German) in unmorphed form. In condition two, 20 different listeners had to identify the same two dialects but with swapped speech rhythm, and in condition three, 21 different listeners had to identify the same dialects with swapped speech rhythm and intonation. The experiment showed that exchanging speech rhythm alone or speech rhythm combined with intonation had very little effect on the listeners’ dialect identification performance: listeners appear to use primarily segmental information in the identification process. Further results revealed that (a) superimposing the prosodic structure of one dialect (Bern Swiss German) onto another (Valais Swiss German) caused greater variability across some listeners than the other way around and that (b) identification performance varies as a function of sentence material used, i.e. how the sentences differ in segmental and prosodic make-up. We discuss implications for forensic phonetics, language and cognition, and automatic speech recognition.