Deep Learning Based TTS-STT Model with Transliteration for Indic Languages

This paper introduces a new text-to-speech presentation from end-to-end (E2E-TTS) using toolkit called ESPnet-TTS, which is an open source extension. ESPnet speech processing tools kit. Various models come under ESPnet TTS TacoTron 2, Transformer TTS, and Fast Speech. This also provides recipes recommended by the Kaldi speech recognition tool kit (ASR). Recipes based on the composition combined with the ESPnet ASR recipe, which provides high performance. This toolkit also provides pre-trained models and samples of all recipes for users to use as a base .It works on TTS-STT and translation features for various indicator languages, with a strong focus on English, Marathi and Hindi. This paper also shows that neural sequence-to-sequence models find the state of the art or near the effects of the art state on existing databases. We also analyze some of the key design challenges that contribute to the development of a multilingual business translation system, which includes processing bilingual business data sets and evaluating multiple translation methods. The test result can be obtained using tokens and these test results show that our models can achieve modern performance compared to the latest LJ Speech tool kit data. Terms of Reference — Open source, end-to-end, text-to-speech

Impact of Powered Air-Purifying Respirator Devices on Word Recognition in Health Care Providers

The coronavirus 2019 pandemic has increased the use of powered air-purifying respirator (PAPR) devices, which produce appreciable noise levels during filtration. Our objective was to determine if active PAPR usage significantly impairs auditory communication in health care providers. We additionally sought to assess what volume of speech presentation was required for adequate communication with providers wearing a PAPR. In subjects with normal hearing at baseline, audiometric data demonstrated a 93% (95% CI, 86%-99%) decrease in word recognition scores during active PAPR usage. Presentation at 85 to 90 dB was needed to obtain word recognition scores similar to baseline in subjects with normal hearing without a PAPR. Pure tone averages also significantly decreased with PAPR usage, by 54 dB (95% CI, 46-62). Active PAPR usage has a substantial impact on auditory perception when utilized by health care providers. The potential longer-term effect of these devices on providers with regular active usage is of interest for future study.

Speech and Thought Presentation in Chance by Alice Munro: A Stylistic Analysis

This study analyses the speech and thought presentation in Chance, a short story written by Alice Munro. The study aims to analyse how the speech and thought of the characters in the short story are presented. The concept of speech and thought presentation is dubious and complex. This study distinguishes speech and thought presentation and identifies either the characters responsible for representing their speech and thought or the narrator whose speech or thought gets to represent in Munro’s short story. The present study follows the speech and thought presentation techniques of Leech and Short (2007). The present study found out how the author used the categories of speech and thought presentation in the short story with all of their categories except DT. The findings of the study revealed a total of 293 speech and thought presentations in the short story. 235 presentations belong to speech presentations, and 58 to thought presentations. FDS and DS are the most occurred speech presentation within the short story which enabled the author to make her characters seem independent of the narrator. The FDS technique suggests that the context of speech in the story is clear enough, referring to whom the speakers are. FIS is the least occurred presentation within the short story. Besides, DT is not found in the whole short story. Munro has given the importance to the external speech rather than internal thought. The study results indicate that wareness towards speech and thought presentations leads to a better understanding of the literary texts.

Wayang (Puppet) Character Transformation Model In Augmented Reality

The art of wayang that thrives, are dynamic and always adapt to the times need to consider the regeneration of puppet show audiences. The presence of technology has changed the audience’s paradigm of verbal performances into visual performances. This wayang character transformation model is an offering of AR application-based art products that aim to become a medium for introducing wayang art from an early age and in various rooms. This study develops an Augmented Reality application. Data were collected using data collection methods in the form of observation, interviews and simple questionnaires and documentation studies. The results showed that there are two models, namely, the Tri Sandi and the Waterfall model. This modeling found the form of a puppet character recognition application product that contains plot, tetikesa, antawacana (speech presentation style), discourse, stage and melody.

Types, Distribution, and Lexico-Grammatical Realization of Discourse Presentation Categories and Their Functional Implications

The fourth chapter presents the quantitative findings for the categories of speech, writing, and thought presentation in the corpus of 19th-century narrative fiction and compares their statistical distribution with the findings by Semino and Short (2004) for 20th-century fiction. The author finds that the JLVeffects of particular categories of thought presentation are different from those of speech presentation in the 19th-century data. Further, the scales of speech and thought presentation in 19th-century narrative fiction are differently distributed compared to the 20th century, this giving quantitative evidence to Fludernik’s (1993) “direct discourse fallacy” according to which a character’s direct discourse should never simply be accepted as fully reliable because the narrator’s mediation is always a distortion.

List of words to evaluate speech perception: recording and verification of applicability

ABSTRACT Purpose: to record the “List of Words to Evaluate the Speech Perception of Children with Hearing Loss” which is standardized for live speech presentation and verify its clinical applicability. Methods: recording: acoustic standards were used, three recordings of each word and analysis by judges. The list was recorded in silence at 60 decibels (dB) and signal noise relation of +10 dB. Participants: 30 children in the age range from five years to 10 years and 11 months, with no auditory and language disorders. The procedure was performed in live and recorded speech. Wilcoxon’s, paired t and Spearman’s correlation coefficient tests (p-value significantly less or equal to 0.05), were applied. Results: the comparison of performance for recognition of words and phonemes between live and recorded speech resulted in a statistically significant difference (p ≤ 0.05), in all conditions analyzed. The results were higher in the silence condition. There was no statistically significant difference between the time of application in the recorded speech when compared in silence and noise (p=0.064). Conclusion: the recording and application of the procedure that analyzes recognition of phonemes and words proved to be viable in recorded speech in silence and noise.