Clean speech data is necessary for spoken language processing, however, there is no public Japanese dialect corpus collected for speech processing. Parallel speech corpora of dialect are also important because real dialect affects each other, however, the existing data only includes noisy speech data of dialects and their translation in common language. In this paper, we collected parallel speech corpora of Japanese dialect, 100 read speeches utterance of 25 dialect speakers and their transcriptions of phoneme. We recorded speeches of 5 common language speakers and 20 dialect speakers from 4 areas, 5 speakers from 1 area, respectively. Each dialect speaker converted the same common language texts to their dialect and read them. Speeches are recorded with closed-talk microphone, using for spoken language processing (recognition, synthesis, pronounce estimation). In the experiments, accuracies of automatic speech recognition (ASR) and KanaKanji conversion (KKC) system are improved by adapting the system with the data.
@InProceedings{YOSHINO16.549,
author = {Koichiro Yoshino and Naoki Hirayama and Shinsuke Mori and Fumihiko Takahashi and Katsutoshi Itoyama and Hiroshi G. Okuno}, title = {Parallel Speech Corpora of Japanese Dialects}, booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)}, year = {2016}, month = {may}, date = {23-28}, location = {Portorož, Slovenia}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {978-2-9517408-9-1}, language = {english} }
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