13,344 research outputs found

    Evaluating Methods for Ground-Truth-Free Foreign Accent Conversion

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    Foreign accent conversion (FAC) is a special application of voice conversion (VC) which aims to convert the accented speech of a non-native speaker to a native-sounding speech with the same speaker identity. FAC is difficult since the native speech from the desired non-native speaker to be used as the training target is impossible to collect. In this work, we evaluate three recently proposed methods for ground-truth-free FAC, where all of them aim to harness the power of sequence-to-sequence (seq2seq) and non-parallel VC models to properly convert the accent and control the speaker identity. Our experimental evaluation results show that no single method was significantly better than the others in all evaluation axes, which is in contrast to conclusions drawn in previous studies. We also explain the effectiveness of these methods with the training input and output of the seq2seq model and examine the design choice of the non-parallel VC model, and show that intelligibility measures such as word error rates do not correlate well with subjective accentedness. Finally, our implementation is open-sourced to promote reproducible research and help future researchers improve upon the compared systems.Comment: Accepted to the 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). Demo page: https://unilight.github.io/Publication-Demos/publications/fac-evaluate. Code: https://github.com/unilight/seq2seq-v

    Talker discrimination across languages

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    This study investigated the extent to which listeners are able to discriminate between bilingual talkers in three language pairs- English-German, English-Finnish and English-Mandarin. Native English listeners were presented with two sentences spoken by bilingual talkers and were asked to judge whether they thought the sentences were spoken by the same person. Equal amounts of cross-language and matched-language trials were presented. The results show that native English listeners are able to carry out this task well; achieving percent correct levels at well above chance for all three language pairs. Previous research has shown this for English-German, this research shows listeners also extend this to Finnish and Mandarin, languages that are quite distinct from English from a genetic and phonetic similarity perspective. However, listeners are significantly less accurate on cross-language talker trials (English-foreign) than on matched-language trials (English-English and foreign-foreign). Understanding listeners ’ behaviour in cross-language talker discrimination using natural speech is the first step in developing principled evaluation techniques for synthesis systems in which the goal is for the synthesised voice to sound like the original speaker, for instance, in speech-to-speech translation systems, voice conversion and reconstruction. Keywords: human speech perception, talker discrimination, cross-language 1

    THE EFFECT OF INDIVIDUAL LEARNING ON STUDENTS’ SPEAKING ABILITY

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    The objectives of the research are to improve students’ speaking and to enrich the effective techniques for the students in improving their speaking ability. This is an experimental study conducted at SMA AL-Husna Tangerang. The researcher collects the data from 40 students as sample from 12th Grade SMA Al-Husna  Tangerang in academic year 2015/2016 spread in two classes, one class as the experiment group another one is the control group. The researcher used a true experimental research design to get the data and the data are gathered through pretest and posttest of speaking by using interesting short stories as the instrument of the research. The result of the research shows that the mean of gained score is 1.9. It can be concluded that the result of the posttest (after having treatment) greater than pretest. The research hypothesis accepted and null hypothesis is rejected. It means there is significant difference of teaching students’ speaking ability both classes. Based on the result of t-test shows that tobserved (8,07) > (1.73) ttable. So, Ho is rejected and Ha is accepted. It means teaching speaking using Individual learning technique is effective in improving students’ speaking ability.   Keywords: Individual learning, Speaking abilit

    INTEGRATING IPTV AND SOCIAL NETWORKING WITH VOICE INPUT

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    Elderly people comprise the highest proportion of television viewers. Elderly people often struggle with new technology and reject it due to complexity. We propose a system to help people keep up with certain new technologies, such as IPTV and social networks with reduced efforts. We specifically propose a system to integrate IPTV with Twitter, a social networking website with an aid of a mobile phone. The system uses speech to text technology on mobile phone, as input to reduce the difficulty involved in the interaction with Twitter, while viewing television. As speech is a more convenient and natural way of expression than text, we anticipate that people from other age groups can also benefit from the system

    An open database of productivity in Vietnam's social sciences and humanities for public use

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    This study presents a description of an open database on scientific output of Vietnamese researchers in social sciences and humanities, one that corrects for the shortcomings in current research publication databases such as data duplication, slow update, and a substantial cost of doing science. Here, using scientists’ self-reports, open online sources and cross-checking with Scopus database, we introduce a manual system and its semi-automated version of the database on the profiles of 657 Vietnamese researchers in social sciences and humanities who have published in Scopus-indexed journals from 2008 to 2018. The final system also records 973 foreign co-authors, 1,289 papers, and 789 affiliations. The data collection method, highly applicable for other sources, could be replicated in other developing countries while its content be used in cross-section, multivariate, and network data analyses. The open database is expected to help Vietnam revamp its research capacity and meet the public demand for greater transparency in science management
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