Temporal Parameters of Spontaneous Speech in Forensic Speaker Identification in Case of Language Mismatch: Serbian as L1 and English as L2

Celem badania jest analiza możliwości identyfikacji mówcy kryminalistycznego i sądowego podczas zadawania pytań w różnych językach, z wykorzystaniem parametrów temporalnych. (wskaźnik artykulcji, wskaźnik mowy, stopień niezdecydowania, odsetek pauz, średnia czas trwania pauzy). Korpus obejmuje 10 mówców kobiet z Serbii, które znają język angielksi na poziomie zaawwansowanym. Patrametry są badane z wykorzystaniem beayesowskiego wzoru wskaźnika prawdopodobieństwa w 40 parach tcyh samych mówców i w 230 parach różnych mówców, z uwzględnieniem szacunku wskaźnika błędu, równiego wskaźnika błędu i Całościowego Wskaźnika Prawdopodobieństwa. badanie ma charakter pionierski w zakresie językoznawstwa sądowego i kryminalistycznego por1) ónawczego w parze jezyka serbskiego i angielskiego, podobnie, jak analiza parametrów temporalnych mówców bilingwalnych. Dalsze badania inny skoncentrować się na porównaniu języków z rytmem akcentowym i z rytmem sylabicznym. The purpose of the research is to examine the possibility of forensic speaker identification if question and suspect sample are in different languages using temporal parameters (articulation rate, speaking rate, degree of hesitancy, percentage of pauses, average pause duration). The corpus includes 10 female native speakers of Serbian who are proficient in English. The parameters are tested using Bayesian likelihood ratio formula in 40 same-speaker and 360 different-speaker pairs, including estimation of error rates, equal error rates and Overall Likelihood Ratio. One-way ANOVA is performed to determine whether inter-speaker variability is higher than intra- speaker variability across languages. The most successful discriminant is degree of hesitancy with ER of 42.5%/28%, (EER: 33%), followed by average pause duration with ER 35%/45.56%, (EER: 40%). Although the research features a closed-set comparison, which is not very common in forensic reality, the results are still relevant for forensic phoneticians working on criminal cases or as expert witnesses. This study pioneers in forensically comparing Serbian and English as well as in forensically testing temporal parameters on bilingual speakers. Further research should focus on comparing two stress-timed or two syllable-timed languages to test whether they will be more comparable in terms of temporal aspects of speech.

Identyfikacja parametrów czasowych mowy spontanicznej mówców kryminalistycznych w przypadku niedopasowania językowego: język serbski jako L1 i język angielski jako L2

The purpose of the research is to examine the possibility of forensic speaker identification if question and suspect sample are in different languages using temporal parameters (articulation rate, speaking rate, degree of hesitancy, percentage of pauses, average pause duration). The corpus includes 10 female native speakers of Serbian who are proficient in English. The parameters are tested using Bayesian likelihood ratio formula in 40 same-speaker and 360 different-speaker pairs, including estimation of error rates, equal error rates and Overall Likelihood Ratio. One-way ANOVA is performed to determine whether inter-speaker variability is higher than intra- speaker variability across languages. The most successful discriminant is degree of hesitancy with ER of 42.5%/28%, (EER: 33%), followed by average pause duration with ER 35%/45.56%, (EER: 40%). Although the research features a closed-set comparison, which is not very common in forensic reality, the results are still relevant for forensic phoneticians working on criminal cases or as expert witnesses. This study pioneers in forensically comparing Serbian and English as well as in forensically testing temporal parameters on bilingual speakers. Further research should focus on comparing two stress-timed or two syllable-timed languages to test whether they will be more comparable in terms of temporal aspects of speech. Celem badania jest analiza możliwości identyfikacji mówcy kryminalistycznego i sądowego podczas zadawania pytań w różnych językach, z wykorzystaniem parametrów temporalnych. (wskaźnik artykulcji, wskaźnik mowy, stopień niezdecydowania, odsetek pauz, średnia czas trwania pauzy). Korpus obejmuje 10 mówców kobiet z Serbii, które znają język angielksi na poziomie zaawwansowanym. Patrametry są badane z wykorzystaniem beayesowskiego wzoru wskaźnika prawdopodobieństwa w 40 parach tcyh samych mówców i w 230 parach różnych mówców, z uwzględnieniem szacunku wskaźnika błędu, równiego wskaźnika błędu i Całościowego Wskaźnika Prawdopodobieństwa. badanie ma charakter pionierski w zakresie językoznawstwa sądowego i kryminalistycznego por1) ónawczego w parze jezyka serbskiego i angielskiego, podobnie, jak analiza parametrów temporalnych mówców bilingwalnych. Dalsze badania inny skoncentrować się na porównaniu języków z rytmem akcentowym i z rytmem sylabicznym.

Language sample analysis for Spanish speakers

textThe purpose of this project was to develop a Spanish language sample analysis (LSA) scoring procedure for English-Spanish bilinguals used to guide clinicians in developing language goals and monitoring progress on those goals. A Spanish LSA procedure was created and was tested on 20 typically developing and 16 language impaired English-Spanish bilinguals. Each utterance of each language sample was analyzed for correct and attempted use of the 20 grammatical forms selected for the LSA procedure. Based on the results, a preliminary profile of impairment was established. It showed that Relative Clauses, Infinitive Clauses, Present Subjunctive, Third Person Plural Present and Preterit Indicative, Irregular Preterit Indicative, Indirect and Direct Object Clitics, Imperfect, and Plural Nouns were the most problematic forms for English-Spanish bilinguals with LI. Clinical implications of these findings are discussed.Communication Sciences and Disorder

Capture, Learning, and Synthesis of 3D Speaking Styles

Audio-driven 3D facial animation has been widely explored, but achieving realistic, human-like performance is still unsolved. This is due to the lack of available 3D datasets, models, and standard evaluation metrics. To address this, we introduce a unique 4D face dataset with about 29 minutes of 4D scans captured at 60 fps and synchronized audio from 12 speakers. We then train a neural network on our dataset that factors identity from facial motion. The learned model, VOCA (Voice Operated Character Animation) takes any speech signal as input - even speech in languages other than English - and realistically animates a wide range of adult faces. Conditioning on subject labels during training allows the model to learn a variety of realistic speaking styles. VOCA also provides animator controls to alter speaking style, identity-dependent facial shape, and pose (i.e. head, jaw, and eyeball rotations) during animation. To our knowledge, VOCA is the only realistic 3D facial animation model that is readily applicable to unseen subjects without retargeting. This makes VOCA suitable for tasks like in-game video, virtual reality avatars, or any scenario in which the speaker, speech, or language is not known in advance. We make the dataset and model available for research purposes at http://voca.is.tue.mpg.de.Comment: To appear in CVPR 201

THE APPLICATION OF FUNCTIONAL APPROACH IN STANDAR KOMPETENSI LULUSAN (SKL) UJIAN NASIONAL SMP/MTs OF ENGLISH IN ACADEMIC YEAR 2011 – 2012

Ujian Nasional (UN) or national examination for the ninth grader of Junior High School has been conducted. Each subject tested has its own competency standard for the graduation or standar kompetensi lulusan (SKL). SKL is used as the assessment standard to determine the graduation of the students. The SKL for Ujian Nasional (UN) SMP/MTs of English in academic year 2011 - 2012 covers competency in reading and writing skill. This writing shows that competencies and the indicators of the SKL Ujian Nasional (UN) SMP/MTs of English in academic year 2011 - 2012 reflect functional approach in English Language Teaching

Mobile Informal Language Learning: Exploring Welsh Learners’ Practices

Mobile devices have great potential in supporting language learning, through providing access to vocabulary, lessons and resources, and supporting interactions with other speakers. There may be particular advantages, however, in using such technologies for learning minority languages. Welsh is a minority UK language spoken by around 611,000 people in Wales and there is considerable interest among adults in Wales and from Welsh families in learning Welsh. However the small numbers of speakers and their uneven distribution make it difficult for learners outside Welsh speaking “hotspots” to hear and practice Welsh. Mobile learning therefore has great potential for Welsh learners by providing resources wherever the learner is and by supporting web-based learning communities. The study reported here investigates whether this potential is being exploited in practice. It employed interviews and a small survey to study the practices of Welsh learners at all levels. It was found that learners used mobile technologies widely, to access a wide range of resources, although not always on-the-move, and also that many were using courses, in particular one online course. Learners’ practices in using digital technologies for their Welsh language learning are discussed, and also the implications for both learning other minority languages and for informal mobile learning more generally

“I Understood You, But There was This Pronunciation Thing…”: L2 Pronunciation Feedback in English/French Tandem Interactions

We hope that our data brings a valuable and fairly unique contribution to SLA research, helping to establish which errors get corrected and how it may have implications for setting priorities in L2 pronunciation teaching