holylovenia commited on
Commit
4d20f0d
·
1 Parent(s): 781e2ab

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +22 -2
README.md CHANGED
@@ -5,24 +5,41 @@ language:
5
  - ind
6
  ---
7
 
 
 
8
  This is the first Indonesian speech dataset for small vocabulary continuous speech recognition (SVCSR).
 
9
  The data was developed by TELKOMRisTI (R&D Division, PT Telekomunikasi Indonesia) in collaboration with Advanced
 
10
  Telecommunication Research Institute International (ATR) Japan and Bandung Institute of Technology (ITB) under the
 
11
  Asia-Pacific Telecommunity (APT) project in 2004 [Sakti et al., 2004]. Although it was originally developed for
 
12
  a telecommunication system for hearing and speaking impaired people, it can be used for other applications,
 
13
  i.e., automatic call centers. Furthermore, as all speakers utter the same sentences,
 
14
  it can also be used for voice conversion tasks.
15
 
 
 
16
  The text is based on a word vocabulary which is derived from some necessary dialog calls,
 
17
  such as dialog calls with the 119 emergency department, 108 telephone information department,
 
18
  and ticket reservation department. In total, it consists of 20,000 utterances (about 18 hours of speech) from the
 
19
  70-word dialog vocabulary of 100 sentences (including single word sentences) each uttered by 200 speakers
 
20
  (100 Females, 100 Males). The age is limited to middle age (20-40 years), but they present a wide range of spoken
 
21
  dialects from different ethnic groups. The recording is conducted in parallel for both clean and telephone speech,
 
22
  but we open only the clean speech due to quality issues on telephone speech.
 
23
  Each audio file is a single-channel 16-bit PCM WAV with a sample rate of 16000 Hz.
24
- These utterances are equally split into training and test sets with 100 speakers (50 Females, 50 Males) in each set.
25
 
 
26
 
27
  ## Dataset Usage
28
 
@@ -30,7 +47,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
30
 
31
  ## Citation
32
 
33
- ```@inproceedings{sakti-icslp-2004,
 
34
  title = "Indonesian Speech Recognition for Hearing and Speaking Impaired People",
35
  author = "Sakti, Sakriani and Hutagaol, Paulus and Arman, Arry Akhmad and Nakamura, Satoshi",
36
  booktitle = "Proc. International Conference on Spoken Language Processing (INTERSPEECH - ICSLP)",
@@ -46,6 +64,8 @@ CC-BY-NC-SA-4.0
46
 
47
  ## Homepage
48
 
 
 
49
  ### NusaCatalogue
50
 
51
  For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
 
5
  - ind
6
  ---
7
 
8
+ # indspeech_teldialog_svcsr
9
+
10
  This is the first Indonesian speech dataset for small vocabulary continuous speech recognition (SVCSR).
11
+
12
  The data was developed by TELKOMRisTI (R&D Division, PT Telekomunikasi Indonesia) in collaboration with Advanced
13
+
14
  Telecommunication Research Institute International (ATR) Japan and Bandung Institute of Technology (ITB) under the
15
+
16
  Asia-Pacific Telecommunity (APT) project in 2004 [Sakti et al., 2004]. Although it was originally developed for
17
+
18
  a telecommunication system for hearing and speaking impaired people, it can be used for other applications,
19
+
20
  i.e., automatic call centers. Furthermore, as all speakers utter the same sentences,
21
+
22
  it can also be used for voice conversion tasks.
23
 
24
+
25
+
26
  The text is based on a word vocabulary which is derived from some necessary dialog calls,
27
+
28
  such as dialog calls with the 119 emergency department, 108 telephone information department,
29
+
30
  and ticket reservation department. In total, it consists of 20,000 utterances (about 18 hours of speech) from the
31
+
32
  70-word dialog vocabulary of 100 sentences (including single word sentences) each uttered by 200 speakers
33
+
34
  (100 Females, 100 Males). The age is limited to middle age (20-40 years), but they present a wide range of spoken
35
+
36
  dialects from different ethnic groups. The recording is conducted in parallel for both clean and telephone speech,
37
+
38
  but we open only the clean speech due to quality issues on telephone speech.
39
+
40
  Each audio file is a single-channel 16-bit PCM WAV with a sample rate of 16000 Hz.
 
41
 
42
+ These utterances are equally split into training and test sets with 100 speakers (50 Females, 50 Males) in each set.
43
 
44
  ## Dataset Usage
45
 
 
47
 
48
  ## Citation
49
 
50
+ ```
51
+ @inproceedings{sakti-icslp-2004,
52
  title = "Indonesian Speech Recognition for Hearing and Speaking Impaired People",
53
  author = "Sakti, Sakriani and Hutagaol, Paulus and Arman, Arry Akhmad and Nakamura, Satoshi",
54
  booktitle = "Proc. International Conference on Spoken Language Processing (INTERSPEECH - ICSLP)",
 
64
 
65
  ## Homepage
66
 
67
+ [https://github.com/s-sakti/data_indsp_teldialog_svcsr/](https://github.com/s-sakti/data_indsp_teldialog_svcsr/)
68
+
69
  ### NusaCatalogue
70
 
71
  For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)