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'''By default, each corpus is text/audio. Some corpora contain more information. In this case, they are classified under a dedicated section (i.e. Audiovisual for audiovisual speech)''' | |||
== Alba speech corpus == | == Multilingual == | ||
=== Idlak/Living-Audio-Dataset === | |||
https://github.com/Idlak/Living-Audio-Dataset | |||
=== CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages === | |||
https://github.com/Kyubyong/CSS10 | |||
=== The Simple4All Tundra Corpus === | |||
http://tundra.simple4all.org | |||
== Language specific == | |||
=== English === | |||
==== Alba speech corpus ==== | |||
https://doi.org/10.7488/ds/2506 | https://doi.org/10.7488/ds/2506 | ||
== Parallel Audiobook Corpus == | ==== Parallel Audiobook Corpus ==== | ||
https://doi.org/10.7488/ds/2468 | https://doi.org/10.7488/ds/2468 | ||
== VCTK == | ==== VCTK ==== | ||
https://doi.org/10.7488/ds/ | https://doi.org/10.7488/ds/2645 | ||
== | ==== Hurricane natural speech corpus - higher quality version ==== | ||
https://doi.org/10.7488/ds/ | https://doi.org/10.7488/ds/2482 | ||
== | ==== Repeated Harvard Sentence Prompts corpus version 0.5 ==== | ||
https://doi.org/10.7488/ds/ | https://doi.org/10.7488/ds/39 | ||
== The Voice Conversion Challenge 2018 database == | ==== The Voice Conversion Challenge 2018 database ==== | ||
https://doi.org/10.7488/ds/2337 | https://doi.org/10.7488/ds/2337 | ||
== The Voice Conversion Challenge 2016 database == | ==== The Voice Conversion Challenge 2016 database ==== | ||
https://doi.org/10.7488/ds/1575 | https://doi.org/10.7488/ds/1575 | ||
== | ==== LibriTTS corpus ==== | ||
http://www.openslr.org/60/ | |||
== CSTR NAM TIMIT Plus corpus == | ==== CSTR NAM TIMIT Plus corpus ==== | ||
http://homepages.inf.ed.ac.uk/jyamagis/page3/page57/page57.html | http://homepages.inf.ed.ac.uk/jyamagis/page3/page57/page57.html | ||
== | ==== The LJ Speech Dataset ==== | ||
https://keithito.com/LJ-Speech-Dataset/ | |||
==== DAPS (Device and Produced Speech) Dataset - A dataset of professional production quality speech and corresponding aligned speech recorded on common consumer devices ==== | |||
https://archive.org/details/daps_dataset | |||
=== French === | |||
==== The SIWIS French Speech Synthesis Database ==== | |||
https://doi.org/10.7488/ds/1705 | |||
=== Japanese === | |||
==== JVS corpus ==== | |||
https://sites.google.com/site/shinnosuketakamichi/research-topics/jvs_corpus | |||
==== JSUT corpus ==== | |||
https://sites.google.com/site/shinnosuketakamichi/publication/jsut | |||
== | === Norwegian === | ||
== NB Tale - a basic acoustic phonetic speech database for Norwegian == | ==== NB Tale - a basic acoustic phonetic speech database for Norwegian ==== | ||
https://www.nb.no/sprakbanken/show?serial=oai:nb.no:sbr-31&lang=en | https://www.nb.no/sprakbanken/show?serial=oai:nb.no:sbr-31&lang=en | ||
== Tuva Speech Database == | ==== Tuva Speech Database ==== | ||
https://www.nb.no/sprakbanken/show?serial=oai:nb.no:sbr-44&lang=en | https://www.nb.no/sprakbanken/show?serial=oai:nb.no:sbr-44&lang=en | ||
== | === Romanian === | ||
== | ==== Romanian Speech Synthesis (RSS) Database ==== | ||
http:// | http://romaniantts.com/rssdb/ | ||
== | ==== The SWARA Corpus ==== | ||
https:// | https://speech.utcluj.ro/swarasc/ | ||
== | == Articulatory data == | ||
== | === mngu0 === | ||
http://www.mngu0.org | |||
== | == Audiovisual == | ||
== | === TCD-TIMIT (audio visual multi-speaker database) === | ||
https:// | https://sigmedia.tcd.ie/TCDTIMIT/node/1 | ||
=== The GRID audiovisual sentence corpus === | |||
http://spandh.dcs.shef.ac.uk/gridcorpus/ | |||
== | == Non classified == | ||
=== PTDB-TUG: Pitch Tracking Database from Graz University of Technology === | |||
https://www.spsc.tugraz.at/databases-and-tools/ptdb-tug-pitch-tracking-database-from-graz-university-of-technology.html | |||
https:// | |||
Latest revision as of 17:25, 24 February 2020
By default, each corpus is text/audio. Some corpora contain more information. In this case, they are classified under a dedicated section (i.e. Audiovisual for audiovisual speech)
Multilingual
Idlak/Living-Audio-Dataset
https://github.com/Idlak/Living-Audio-Dataset
CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages
https://github.com/Kyubyong/CSS10
The Simple4All Tundra Corpus
Language specific
English
Alba speech corpus
https://doi.org/10.7488/ds/2506
Parallel Audiobook Corpus
https://doi.org/10.7488/ds/2468
VCTK
https://doi.org/10.7488/ds/2645
Hurricane natural speech corpus - higher quality version
https://doi.org/10.7488/ds/2482
Repeated Harvard Sentence Prompts corpus version 0.5
The Voice Conversion Challenge 2018 database
https://doi.org/10.7488/ds/2337
The Voice Conversion Challenge 2016 database
https://doi.org/10.7488/ds/1575
LibriTTS corpus
CSTR NAM TIMIT Plus corpus
http://homepages.inf.ed.ac.uk/jyamagis/page3/page57/page57.html
The LJ Speech Dataset
https://keithito.com/LJ-Speech-Dataset/
DAPS (Device and Produced Speech) Dataset - A dataset of professional production quality speech and corresponding aligned speech recorded on common consumer devices
https://archive.org/details/daps_dataset
French
The SIWIS French Speech Synthesis Database
https://doi.org/10.7488/ds/1705
Japanese
JVS corpus
https://sites.google.com/site/shinnosuketakamichi/research-topics/jvs_corpus
JSUT corpus
https://sites.google.com/site/shinnosuketakamichi/publication/jsut
Norwegian
NB Tale - a basic acoustic phonetic speech database for Norwegian
https://www.nb.no/sprakbanken/show?serial=oai:nb.no:sbr-31&lang=en
Tuva Speech Database
https://www.nb.no/sprakbanken/show?serial=oai:nb.no:sbr-44&lang=en
Romanian
Romanian Speech Synthesis (RSS) Database
The SWARA Corpus
https://speech.utcluj.ro/swarasc/
Articulatory data
mngu0
Audiovisual
TCD-TIMIT (audio visual multi-speaker database)
https://sigmedia.tcd.ie/TCDTIMIT/node/1
The GRID audiovisual sentence corpus
http://spandh.dcs.shef.ac.uk/gridcorpus/
