shenyunhang commited on
Commit
e1af0fa
·
verified ·
1 Parent(s): ee3f54a

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +65 -0
README.md ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ ---
4
+
5
+
6
+ ---
7
+
8
+ Data source:
9
+ https://openslr.org/93/
10
+
11
+ ---
12
+
13
+
14
+
15
+
16
+
17
+
18
+ <div class="container">
19
+ <h2 class="slrStyle"> AISHELL-3
20
+ </h2>
21
+ <p class="resource"> <b>Identifier:</b> SLR93 </p>
22
+ <p class="resource"> <b>Summary:</b> Mandarin data, provided by Beijing Shell Shell Technology Co., Ltd.
23
+ </p>
24
+ <p class="resource"> <b>Category:</b> Speech
25
+ </p>
26
+ <p class="resource"> <b>License:</b> Apache License v.2.0
27
+ </p>
28
+ <p class="resource"> <b>Downloads (use a mirror closer to you):</b> <br>
29
+ <a href="https://www.openslr.org/resources/93/data_aishell3.tgz"> data_aishell3.tgz </a> [19G] &nbsp; (speech data and transcripts
30
+ ) &nbsp; Mirrors:
31
+ <a href="https://us.openslr.org/resources/93/data_aishell3.tgz"> [US] </a> &nbsp;
32
+ <a href="https://openslr.elda.org/resources/93/data_aishell3.tgz"> [EU] </a> &nbsp;
33
+ <a href="https://openslr.magicdatatech.com/resources/93/data_aishell3.tgz"> [CN] </a> &nbsp;
34
+ <br><br></p><p class="resource"><b>About this resource:</b></p><div id="about">AISHELL-3 is a large-scale and high-fidelity multi-speaker Mandarin speech corpus
35
+ published by Beijing Shell Shell Technology Co.,Ltd. It can be used to train
36
+ multi-speaker Text-to-Speech (TTS) systems.The corpus contains roughly 85 hours
37
+ of emotion-neutral recordings spoken by 218 native Chinese mandarin speakers
38
+ and total 88035 utterances. Their auxiliary attributes such as gender, age group
39
+ and native accents are explicitly marked and provided in the corpus. Accordingly,
40
+ transcripts in Chinese character-level and pinyin-level are provided along with the
41
+ recordings. The word &amp; tone transcription accuracy rate is above 98%, through
42
+ professional speech annotation and strict quality inspection for tone and prosody.
43
+
44
+ <p>
45
+
46
+ You can cite the data
47
+ using the following BibTeX entry:
48
+ </p><pre>
49
+ @inproceedings{AISHELL-3_2020,
50
+ title={AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines},
51
+ author={Yao Shi, Hui Bu, Xin Xu, Shaoji Zhang, Ming Li},
52
+ year={2015},
53
+ url={https://arxiv.org/abs/2010.11567}
54
+ }
55
+ </pre>
56
+
57
+ The baseline system code and generated samples are available <a href="https://sos1sos2sixteen.github.io/aishell3/">here</a>
58
+ </div><p class="resource"> <b>External URL:</b> <a href="http://www.aishelltech.com/aishell_3"> http://www.aishelltech.com/aishell_3 </a> &nbsp; Full description from the company website.
59
+ </p>
60
+
61
+ <div style="height:300px"> </div>
62
+
63
+ </div>
64
+
65
+