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This research project was conducted with social studies and English teachers and ESL students in mainstream classes at a secondary school in Richmond, B.C. over a seven-month period from September 1998 to March 1999. As an action researcher, I solved problems through team work and through following a cyclical process of 1. strategic planning, 2. action, 3. observation, evaluation and self-evaluation, and 4. critical and self-critical reflection on the cycle (McNiff, Lomax, & Whitehead, 1996). The findings included in this study are a definition of the ESL support role, effectiveness of the ESL support program, teacher collaboration, application of the ILC approach and the Knowledge Framework (Mohan, 1986), challenges and issues for content teachers and ESL students, and the dual role as support teacher and researcher. First, with regard to a definition of the ESL support role, ESL support teachers were viewed by myself and the administration as language development specialists who act as consultants, with a focus on co-teaching and individual instruction. Colleagues perceived the ESL support team as ESL trained teachers who must prove their effectiveness through action, rather than words, in content teachers' classrooms. ESL students viewed the ESL support teachers as a welcome support or unwelcome intruders. Second, with regard to the effectiveness of the ESL support program, the administration and I felt that the program provided exceptional support services to content teachers and ESL students. ESL students also felt that the ESL support program was very helpful. Colleagues, however, were initially skeptical of the program, but eventually valued the support. Third, collaboration increased over time as ESL support specialists worked in cooperative relationships with content teachers. Fourth, the ILC approach was selectively, and at times superficially, implemented in content courses. Also, the Knowledge Framework was the most successful teaching method for ESL support of content teachers and ESL students. Fifth, there were many challenges for content teachers, ESL learners, and ESL support specialists. One challenge was the lack of English spoken by our student population. Another concern was the appearance of passivity of ESL students. Also, assessment and evaluation of ESL students was very difficult for content teachers. Thus, content instructors needed to learn alternate assessment and evaluation strategies for their ESL learners. In addition, teachers wondered about their ESL students' comprehension and exam preparation. Lastly, tensions inevitably arose from the dual role as teacher and researcher.

Speaker identification is a challenge for cochlear implant users because their prosthesis restricts access to the cues that underlie natural voice quality. The present thesis examined speaker recognition in the context of spectrally degraded sentences. The listeners of interest were child implant users who were prelingually deaf as well as hearing children and adults who listened to speech via vocoder simulations of implant processing. Study 1 focused on child implant users' identification of a highly salient speaker—the mother (identified as mother)—and unfamiliar speakers varying in age and gender (identified as man, woman, or girl). In a further experiment, children were required to differentiate their mother's voice from the voices of unfamiliar women. Young hearing children were tested on the same tasks and stimuli. Although child implant users performed more poorly than hearing children overall, they successfully differentiated their mother's voice from other voices. In fact, their performance surpassed expectations based on previous studies of child and adult implant users. Even when natural variations in speaking style were reduced, child implant users successfully identified the speakers. The findings imply that person-specific differences in articulatory style contributed to implanted children's successful performance. Study 2 used vocoder simulations of cochlear implant processing to vary the spectral content of sentences produced by the man, woman, and girl from Study 1. The ability of children (5-7 years and 10-12 years) and adults with normal hearing to identify the speakers was affected by the level of spectral degradation and by the gender of the speaker. Female voices were more difficult to identify than was the man's voice, especially for the younger children. In some respects, hearing individuals' identification of degraded voices was poorer than that of child implant users in Study 1. In a further experiment, hearing children and adults were required to provide verbatim repetitions of spectrally degraded sentences. Their performance on this task greatly exceeded their performance on speaker identification at comparable levels of spectral degradation. The present findings underline the importance of ecologically valid materials and methods when assessing speaker identification, especially in children. Moreover, they raise questions about the efficacy of vocoder models for the study of speaker identification in cochlear implant users.

Speaker identification is a challenge for cochlear implant users because their prosthesis restricts access to the cues that underlie natural voice quality. The present thesis examined speaker recognition in the context of spectrally degraded sentences. The listeners of interest were child implant users who were prelingually deaf as well as hearing children and adults who listened to speech via vocoder simulations of implant processing. Study 1 focused on child implant users' identification of a highly salient speaker—the mother (identified as mother)—and unfamiliar speakers varying in age and gender (identified as man, woman, or girl). In a further experiment, children were required to differentiate their mother's voice from the voices of unfamiliar women. Young hearing children were tested on the same tasks and stimuli. Although child implant users performed more poorly than hearing children overall, they successfully differentiated their mother's voice from other voices. In fact, their performance surpassed expectations based on previous studies of child and adult implant users. Even when natural variations in speaking style were reduced, child implant users successfully identified the speakers. The findings imply that person-specific differences in articulatory style contributed to implanted children's successful performance. Study 2 used vocoder simulations of cochlear implant processing to vary the spectral content of sentences produced by the man, woman, and girl from Study 1. The ability of children (5-7 years and 10-12 years) and adults with normal hearing to identify the speakers was affected by the level of spectral degradation and by the gender of the speaker. Female voices were more difficult to identify than was the man's voice, especially for the younger children. In some respects, hearing individuals' identification of degraded voices was poorer than that of child implant users in Study 1. In a further experiment, hearing children and adults were required to provide verbatim repetitions of spectrally degraded sentences. Their performance on this task greatly exceeded their performance on speaker identification at comparable levels of spectral degradation. The present findings underline the importance of ecologically valid materials and methods when assessing speaker identification, especially in children. Moreover, they raise questions about the efficacy of vocoder models for the study of speaker identification in cochlear implant users.

Šio mokslinio darbo objektas yra vaikų ir jaunimo pokalbiai šiuolaikinėje vokiečių vaikų ir jaunimo literatūroje. Darbe nagrinėjami pokalbio sudarymo būdai, pokalbio struktūra ir struktūrą lemiantys veiksniai. Disertacijoje pokalbis apibrėžiamas kaip lingvistinis vienetas, aprašoma pokalbio struktūra ir jos vienetai. Vaikų pokalbiai analizuojami remiantis pokalbio maksimų teorija, stebimas taisyklių taikymas konstruojant pokalbį bei taisyklių pažeidimai. Tiriamosiose darbo dalyse aptariami pokalbio dalyvių vaidmenys ir jų keitimosi mechanizmai, pokalbio dalių raiškos variantai, verbalinės ir neverbalinės kalbos santykis pokalbyje. Be to, nagrinėjami fonetiniai, leksiniai, morfologiniai, sintaksiniai kalbėjimo vienetai, būdingi vaikų ir jaunimo kalbai, t.y. veikiantys vaikų pokalbio sudarymą, padedantys tiksliau nustatyti adresatą, tiksliau išreikšti mintis, apibūdinantys kalbėtojo statusą bei padedantys kuriant įvaizdį. / The object of the doctoral thesis is children's and youth conversations presented in contemporary German literature composed for children and youth. The author analyses the instruments of conversation construction, its structure and factors which determine it. Since the conversation is defined as a linguistic unit, the thesis discusses its structure and elements. Children's talks have been analysed on the basis of Grice's theory of conversational maxims, which allowed to observe the application of particular rules in conversation construction and their disregard or violations. The conversation analysis has also been developed from other perspectives, such as the roles of interlocutors and the mechanisms of their alteration, the expressive variations of the parts of conversations and the relationship between verbal and non-verbal language. Phonetic, lexical, morphological and syntactic discursive elements typical of the children's and youth language have been discussed as well, since they have a considerable impact on the formation of the children's conversation and help to determine the addressee more adequately, express the ideas more acurately, reveal the true status of the speaker and create the desired image.

Purpose: To investigate the effects of speaker age, speaker gender, semantic context, signal-to-noise ratio (SNR) and a listener’s hearing status on speech recognition and listening effort in older adults. We examined the hypothesis that older adults would recognize less speech and exert greater listening effort when listening to the speech of younger versus older adult speakers. Method: Speech stimuli were recorded from 12 adult speakers classified as “younger” (three males and three females aged 18-31 years) and “older” (three males and three females aged 69-89) respectively. A computer-based subjective rating was conducted to confirm that the speakers were representative of younger and older speakers. Listeners included 20 older adults (aged 65 years and above), who were divided into two age-matched groups with and without hearing loss. All listening and speaking participants in the study were native speakers of New Zealand English. A dual-task paradigm was used to measure speech recognition and listening effort; the primary task involved recognition of target words in sentences containing either high or low contextual cues, while the secondary task required listeners to memorise the target words for later recall, following a set number of sentences. Listening tasks were performed with a variety of listening conditions (quiet, +5 dB SNR and 0dB SNR). Results: There were no overall differences in speech recognition scores or word recall scores for the 20 older listeners, when listening to the speech of the younger versus older speakers. However, differential effects of speaker group were observed in the two semantic context conditions (high versus low context). Older male speakers were the easiest to understand when semantic context was low; however, for sentences with high semantic context, the older male group were the most difficult to understand. Word recall scores were also significantly higher in the most challenging listening condition (low semantic context, 0 dB SNR), when the speaker was an older male. Conclusion: Differential effects of speaker group were observed in the two semantic context conditions (high versus low context) suggesting that different speech cues were used by listeners, as the level of context varied. The findings provide further evidence that, in challenging listening conditions, older listeners are able to use a wide range of cues, such as prosodic features and semantic context to compensate for a degraded signal. The availability of these cues depends on characteristics of the speaker, such as rate of speech and prosody, as well as characteristics of the listener and the listening environment. .

This thesis explores the experiences of Japanese native speaker teachers teaching Japanese in New Zealand. The main purpose of this study is to analyse and understand their experiences, to evaluate the extent to which their experiences endorse previous research in the area, and to identify aspects of their experiences that may be universal to immigrant teachers in general or specific to Japanese immigrant teachers in the New Zealand context. This study therefore adopts a qualitative research approach. Findings emerge mainly from the analysis of interviews with twenty-five Japanese native speaker teachers and are supplemented by fifty-two written survey responses. Major themes include ways that the teachers’ backgrounds influenced their career development decision-making process; differences that teachers expected and found in teaching in New Zealand; difficulties that teachers encountered in New Zealand schools; adjustments that teachers made to fit into teaching in New Zealand; adaptation strategies that they adopted to work effectively in the New Zealand cultural environment; and the teachers’ perceptions of working well as Japanese language teachers in New Zealand. The main findings reveal that the teachers confronted difficulties and challenges similar to those of all beginning teachers, but in their case, specific values they held enabled them to develop useful teaching strategies peculiar to them and make successful adaptations to the New Zealand teaching environment. This successful outcome was influenced by their additional learning experience of having gone through the complexity in teacher development as immigrants. Previous research demonstrated that teachers’ experiences and their values influenced curriculum making, the teaching process and classroom organisation. My research extended these findings by describing more specifically the values and strategies that my participant teachers adopted to teach New Zealand students. In addition to the suggestions made for other teachers, several recommendations are made for future research. This study concluded that immigrant teachers need to continue their learning, utilise skills previously acquired in their own countries, and participate in the new society to make successful adaptation.

Voice transformation refers to a class of techniques that modify the voice characteristics either to conceal the identity or to mimic the voice characteristics of another speaker. Its applications include automatic dialogue replacement and voice generation for people with voice disorders. The diversity in applications makes evaluation of voice transformation a challenging task. The objective of this research is to propose a framework to evaluate intentional voice transformation techniques. Our proposed framework is based on two fundamental qualities: intelligibility and speaker similarity. Intelligibility refers to the clarity of the speech content after voice transformation and speaker similarity measures how well the modified output disguises the source speaker. We measure intelligibility with word error rates and speaker similarity with likelihood of identifying the correct speaker. The novelty of our approach is, we consider whether similarly transformed training data are available to the recognizer. We have demonstrated that this factor plays a significant role in intelligibility and speaker similarity for both human testers and automated recognizers. We thoroughly test two classes of voice transformation techniques: pitch distortion and voice conversion, using our proposed framework. We apply our results for patients with voice hypertension using video self-modeling and preliminary results are presented.

Systems designed to enhance intelligibility of speech in noise are difficult to evaluate quantitatively because intelligibility is subjective and often requires feedback from large populations for consistent evaluations. Attempts to quantify the evaluation have included related measures such as the Speech Intelligibility Index. These require separating speech and noise signals, which precludes its use on experimental recordings. This thesis develops a procedure using an Intelligibility Ruler (IR) for efficiently quantifying intelligibility. A calibrated Mean Opinion Score (MOS) method is also implemented in order to compare repeatability over a population of 24 subjective listeners. Results showed that subjects using the IR consistently estimated SII values of the test samples with an average standard deviation of 0.0867 between subjects on a scale from zero to one and R2=0.9421. After a calibration procedure from a subset of subjects, the MOS method yielded similar results with an average standard deviation of 0.07620 and R2=0.9181.While results suggest good repeatability of the IR method over a broad range of subjects, the calibrated MOS method is capable of producing results more closely related to actual SII values and is a simpler procedure for human subjects.

An essential step to achieving human-machine speech communication with the naturalness of communication between humans is developing a machine that is capable of recognising emotions based on speech. This thesis presents research addressing this problem, by making use of acoustic and prosodic information. At a feature level, novel group delay and weighted frequency features are proposed. The group delay features are shown to emphasise information pertaining to formant bandwidths and are shown to be indicative of emotions. The weighted frequency feature, based on the recently introduced empirical mode decomposition, is proposed as a compact representation of the spectral energy distribution and is shown to outperform other estimates of energy distribution. Feature level comparisons suggest that detailed spectral measures are very indicative of emotions while exhibiting greater speaker specificity. Moreover, it is shown that all features are characteristic of the speaker and require some of sort of normalisation prior to use in a multi-speaker situation. A novel technique for normalising speaker-specific variability in features is proposed, which leads to significant improvements in the performances of systems trained and tested on data from different speakers. This technique is also used to investigate the amount of speaker-specific variability in different features. A preliminary study of phonetic variability suggests that phoneme specific traits are not modelled by the emotion models and that speaker variability is a more significant problem in the investigated setup. Finally, a novel approach to emotion modelling that takes into account temporal variations of speech parameters is analysed. An explicit model of the glottal spectrum is incorporated into the framework of the traditional source-filter model, and the parameters of this combined model are used to characterise speech signals. An automatic emotion recognition system that takes into account the shape of the contours of these parameters as they vary with time is shown to outperform a system that models only the parameter distributions. The novel approach is also empirically shown to be on par with human emotion classification performance.