PENGARUH METODE BERNYANYI TETRHADAP PERKEMBANGAN BAHASA ANAK USIA DINI DI LEMBAGA RA RABBANI ISLAMIC SCHOOL

Language is a great tool. With language we can express our thoughts and feelings towards other people. Language can be expressed in various forms, namely speech, writing and gestures. The human organs that play a role are the mouth and throat. Language can also exist without speaking, for example a person is mute - deaf because he cannot hear oral expressions and language so he cannot speak. Seeing the differences in each child, there are three important things that teachers must pay attention to in developing children's language skills to average, namely the number of vocabulary they should master, clarity in speech, and speech disorders. Language is very important to use for socializing, so language needs to be developed from an early age. Learning through the singing method on children's language development may be more effective. Because singing is a fun activity that is loved by children. The singing method is a learning method that uses chanted lyrics. Singing makes the learning atmosphere cheerful and passionate so that children's language development can be stimulated optimally. In addition, singing may increase vocabulary so that children's language development can develop optimally

The Virtual Man Project's CD-ROM "Voice Assessment: Speech-Language Pathology and Audiology & Medicine", Vol.1

The CD-ROM "Voice Assessment: Speech-Language Pathology and Audiology & Medicine" was developed as a teaching tool for people interested in the production of the spoken or sung human voice. Its content comprises several subjects concerning the anatomy and physiology of spoken and sung voice. A careful assessment becomes necessary in order to ensure the effectiveness of teaching and learning educational materials, whether related to education or health, within the proposal of education mediated by technology. OBJECTIVE: This study aimed to evaluate the efficacy of the Virtual Man Project's CD-ROM "Voice Assessment: Speech-Language Pathology and Audiology & Medicine", as a self-learning material, in two different populations: Speech-Language Pathology and Audiology students and Lyrical Singing students. The participants were instructed to study the CD-ROM during 1 month and answer two questionnaires: one before and another one after studying the CD-ROM. The quantitative results were compared statistically by the Student's t-test at a significance level of 5%. RESULTS: Seventeen out of the 28 students who completed the study, were Speech-Language Pathology and Audiology students, while 11 were Lyrical Singing students (dropout rate of 44%). Comparison of the answers to the questionnaires before and after studying the CD-ROM showed a statistically significant increase of the scores for the questionnaire applied after studying the CD-ROM for both Speech-Language Pathology and Audiology and Lyrical Singing students, with p<0.001 and p<0.004, respectively. There was also a statistically significant difference in all topics of this questionnaire for both groups of students. CONCLUSION: The results concerning the evaluation of the Speech-Language Pathology and Audiology and Lyrical Singing students' knowledge before and after learning from the CD-ROM allowed concluding that the participants made significant improvement in their knowledge of the proposed contents after studying the CD-ROM. Based on this, it is assumed that this didactic material is an effective instrument for self-learning of this population

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Scaling text-to-speech (TTS) to large-scale, multi-speaker, and in-the-wild datasets is important to capture the diversity in human speech such as speaker identities, prosodies, and styles (e.g., singing). Current large TTS systems usually quantize speech into discrete tokens and use language models to generate these tokens one by one, which suffer from unstable prosody, word skipping/repeating issue, and poor voice quality. In this paper, we develop NaturalSpeech 2, a TTS system that leverages a neural audio codec with residual vector quantizers to get the quantized latent vectors and uses a diffusion model to generate these latent vectors conditioned on text input. To enhance the zero-shot capability that is important to achieve diverse speech synthesis, we design a speech prompting mechanism to facilitate in-context learning in the diffusion model and the duration/pitch predictor. We scale NaturalSpeech 2 to large-scale datasets with 44K hours of speech and singing data and evaluate its voice quality on unseen speakers. NaturalSpeech 2 outperforms previous TTS systems by a large margin in terms of prosody/timbre similarity, robustness, and voice quality in a zero-shot setting, and performs novel zero-shot singing synthesis with only a speech prompt. Audio samples are available at https://speechresearch.github.io/naturalspeech2.Comment: A large-scale text-to-speech and singing voice synthesis system with latent diffusion model

Treatment of non-fluent aphasia through melody, rhythm and formulaic language

Left-hemisphere stroke patients often suffer a profound loss of spontaneous speech — known as non-fluent aphasia. Yet, many patients are still able to sing entire pieces of text fluently. This striking finding has inspired mainly two research questions. If the experimental design focuses on one point in time (cross section), one may ask whether or not singing facilitates speech production in aphasic patients. If the design focuses on changes over several points in time (longitudinal section), one may ask whether or not singing qualifies as a therapy to aid recovery from aphasia. The present work addresses both of these questions based on two separate experiments. A cross-sectional experiment investigated the relative effects of melody, rhythm, and lyric type on speech production in seventeen patients with non-fluent aphasia. The experiment controlled for vocal frequency variability, pitch accuracy, rhythmicity, syllable duration, phonetic complexity and other influences, such as learning effects and the acoustic setting. Contrary to earlier reports, the cross-sectional results suggest that singing may not benefit speech production in non-fluent aphasic patients over and above rhythmic speech. Previous divergent findings could very likely be due to affects from the acoustic setting, insufficient control for syllable duration, and language-specific stress patterns. However, the data reported here indicate that rhythmic pacing may be crucial, particularly for patients with lesions including the basal ganglia. Overall, basal ganglia lesions accounted for more than fifty percent of the variance related to rhythmicity. The findings suggest that benefits typically attributed to singing in the past may actually have their roots in rhythm. Moreover, the results demonstrate that lyric type may have a profound impact on speech production in non-fluent aphasic patients. Among the studied patients, lyric familiarity and formulaic language appeared to strongly mediate speech production, regardless of whether patients were singing or speaking rhythmically. Lyric familiarity and formulaic language may therefore help to explain effects that have, up until now, been presumed to result from singing. A longitudinal experiment investigated the relative long-term effects of melody and rhythm on the recovery of formulaic and non-formulaic speech. Fifteen patients with chronic non-fluent aphasia underwent either singing therapy, rhythmic therapy, or standard speech therapy. The experiment controlled for vocal frequency variability, phonatory quality, pitch accuracy, syllable duration, phonetic complexity and other influences, such as the acoustic setting and learning effects induced by the testing itself. The longitudinal results suggest that singing and rhythmic speech may be similarly effective in the treatment of non-fluent aphasia. Both singing and rhythmic therapy patients made good progress in the production of common, formulaic phrases — known to be supported by right corticostriatal brain areas. This progress occurred at an early stage of both therapies and was stable over time. Moreover, relatives of the patients reported that they were using a fixed number of formulaic phrases successfully in communicative contexts. Independent of whether patients had received singing or rhythmic therapy, they were able to easily switch between singing and rhythmic speech at any time. Conversely, patients receiving standard speech therapy made less progress in the production of formulaic phrases. They did, however, improve their production of unrehearsed, non-formulaic utterances, in contrast to singing and rhythmic therapy patients, who did not. In light of these results, it may be worth considering the combined use of standard speech therapy and the training of formulaic phrases, whether sung or rhythmically spoken. This combination may yield better results for speech recovery than either therapy alone. Overall, treatment and lyric type accounted for about ninety percent of the variance related to speech recovery in the data reported here. The present work delivers three main results. First, it may not be singing itself that aids speech production and speech recovery in non-fluent aphasic patients, but rhythm and lyric type. Second, the findings may challenge the view that singing causes a transfer of language function from the left to the right hemisphere. Moving beyond this left-right hemisphere dichotomy, the current results are consistent with the idea that rhythmic pacing may partly bypass corticostriatal damage. Third, the data support the claim that non-formulaic utterances and formulaic phrases rely on different neural mechanisms, suggesting a two-path model of speech recovery. Standard speech therapy focusing on non-formulaic, propositional utterances may engage, in particular, left perilesional brain regions, while training of formulaic phrases may open new ways of tapping into right-hemisphere language resources — even without singing

Toward Leveraging Pre-Trained Self-Supervised Frontends for Automatic Singing Voice Understanding Tasks: Three Case Studies

Automatic singing voice understanding tasks, such as singer identification, singing voice transcription, and singing technique classification, benefit from data-driven approaches that utilize deep learning techniques. These approaches work well even under the rich diversity of vocal and noisy samples owing to their representation ability. However, the limited availability of labeled data remains a significant obstacle to achieving satisfactory performance. In recent years, self-supervised learning models (SSL models) have been trained using large amounts of unlabeled data in the field of speech processing and music classification. By fine-tuning these models for the target tasks, comparable performance to conventional supervised learning can be achieved with limited training data. Therefore, in this paper, we investigate the effectiveness of SSL models for various singing voice recognition tasks. We report the results of experiments comparing SSL models for three different tasks (i.e., singer identification, singing voice transcription, and singing technique classification) as initial exploration and aim to discuss these findings. Experimental results show that each SSL model achieves comparable performance and sometimes outperforms compared to state-of-the-art methods on each task. We also conducted a layer-wise analysis to further understand the behavior of the SSL models.Comment: Submitted to APSIPA 202

Teacher’s Directive Speech Acts at Kindergarten School

The research is field research with descriptive qualitative research. The research aims to determine and investigate the teacher's directive speech acts at kindergarten school. The research investigates a teacher in a day of teaching-learning activity at kindergartenschool. Deeply, the research investigates a whole sequence of activity in the class. Actually, there are 6 sessions of the learning activity determined such as; 1) forming in line, 2) circle time, 3) praying up, 4) learning activity, 5) take a rest, 6) learning evaluation and review, 7) praying up, 8) singing a song, 9) closing session. From this sequence of activities, there are three types of directive speech acts which is often used by teacher at certain kindergarten school like requests, requirements, and questions. Specifically, there are several types of directive speech acts in details used by the teacher such as asking, interrogating, inquiring, invite, command, order, hope, suggest, prohibit, advice, and others