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README.md
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- ind
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---
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This is the first Indonesian speech dataset for small vocabulary continuous speech recognition (SVCSR).
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The data was developed by TELKOMRisTI (R&D Division, PT Telekomunikasi Indonesia) in collaboration with Advanced
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Telecommunication Research Institute International (ATR) Japan and Bandung Institute of Technology (ITB) under the
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Asia-Pacific Telecommunity (APT) project in 2004 [Sakti et al., 2004]. Although it was originally developed for
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a telecommunication system for hearing and speaking impaired people, it can be used for other applications,
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i.e., automatic call centers. Furthermore, as all speakers utter the same sentences,
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it can also be used for voice conversion tasks.
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The text is based on a word vocabulary which is derived from some necessary dialog calls,
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such as dialog calls with the 119 emergency department, 108 telephone information department,
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and ticket reservation department. In total, it consists of 20,000 utterances (about 18 hours of speech) from the
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70-word dialog vocabulary of 100 sentences (including single word sentences) each uttered by 200 speakers
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(100 Females, 100 Males). The age is limited to middle age (20-40 years), but they present a wide range of spoken
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dialects from different ethnic groups. The recording is conducted in parallel for both clean and telephone speech,
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but we open only the clean speech due to quality issues on telephone speech.
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Each audio file is a single-channel 16-bit PCM WAV with a sample rate of 16000 Hz.
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These utterances are equally split into training and test sets with 100 speakers (50 Females, 50 Males) in each set.
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## Dataset Usage
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## Citation
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title = "Indonesian Speech Recognition for Hearing and Speaking Impaired People",
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author = "Sakti, Sakriani and Hutagaol, Paulus and Arman, Arry Akhmad and Nakamura, Satoshi",
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booktitle = "Proc. International Conference on Spoken Language Processing (INTERSPEECH - ICSLP)",
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## Homepage
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### NusaCatalogue
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
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- ind
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---
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# indspeech_teldialog_svcsr
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This is the first Indonesian speech dataset for small vocabulary continuous speech recognition (SVCSR).
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The data was developed by TELKOMRisTI (R&D Division, PT Telekomunikasi Indonesia) in collaboration with Advanced
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+
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Telecommunication Research Institute International (ATR) Japan and Bandung Institute of Technology (ITB) under the
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+
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Asia-Pacific Telecommunity (APT) project in 2004 [Sakti et al., 2004]. Although it was originally developed for
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+
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a telecommunication system for hearing and speaking impaired people, it can be used for other applications,
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+
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i.e., automatic call centers. Furthermore, as all speakers utter the same sentences,
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+
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it can also be used for voice conversion tasks.
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+
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+
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The text is based on a word vocabulary which is derived from some necessary dialog calls,
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+
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such as dialog calls with the 119 emergency department, 108 telephone information department,
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+
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and ticket reservation department. In total, it consists of 20,000 utterances (about 18 hours of speech) from the
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+
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70-word dialog vocabulary of 100 sentences (including single word sentences) each uttered by 200 speakers
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+
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(100 Females, 100 Males). The age is limited to middle age (20-40 years), but they present a wide range of spoken
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+
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dialects from different ethnic groups. The recording is conducted in parallel for both clean and telephone speech,
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+
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but we open only the clean speech due to quality issues on telephone speech.
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+
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Each audio file is a single-channel 16-bit PCM WAV with a sample rate of 16000 Hz.
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These utterances are equally split into training and test sets with 100 speakers (50 Females, 50 Males) in each set.
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## Dataset Usage
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## Citation
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```
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@inproceedings{sakti-icslp-2004,
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title = "Indonesian Speech Recognition for Hearing and Speaking Impaired People",
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author = "Sakti, Sakriani and Hutagaol, Paulus and Arman, Arry Akhmad and Nakamura, Satoshi",
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booktitle = "Proc. International Conference on Spoken Language Processing (INTERSPEECH - ICSLP)",
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## Homepage
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[https://github.com/s-sakti/data_indsp_teldialog_svcsr/](https://github.com/s-sakti/data_indsp_teldialog_svcsr/)
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### NusaCatalogue
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
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