Public Speech Datasets
Collection
Data with permissive licenses for research and development • 5 items • Updated
Datasets:
TextGrid unknown | txt stringlengths 19 52 | wav audioduration (s) 1.14 3.99 | __key__ stringlengths 5 5 | __url__ stringclasses 2
values |
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10... | a questão foi retomada no congresso
| F-001 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | leila tem um lindo jardim
| F-002 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | o analfabetismo é a vergonha do país
| F-003 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | a casa foi vendida sem pressa
| F-004 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | trabalhando com união rende muito mais
| F-005 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | recebi nosso amigo para almoçar
| F-006 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | a justiça é a única vencedora
| F-007 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | isso se resolverá de forma tranqüila
| F-008 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | os pesquisadores acreditam nessa teoria
| F-009 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | sei que atingiremos o objetivo
| F-010 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | nosso telefone quebrou
| F-011 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | desculpe se magoei o velho
| F-012 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | queremos discutir o orçamento
| F-013 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | ela tem muita fome
| F-014 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | uma índia andava na mata
| F-015 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | zé vá mais rápido
| F-016 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | hoje dormirei bem
| F-017 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | joão deu pouco dinheiro
| F-018 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | ainda são seis horas
| F-019 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | ela saía discretamente
| F-020 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | eu vi logo a ioiô e o léo
| F-021 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz | |
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10... | um homem não caminha sem um fim
| F-022 | hf://datasets/falabrasil/mf@c4940b32f248f82f05bd558a423eba5e0afae065/data/female/female.tar.gz |
End of preview. Expand in Data Studio
MF: Male/Female for Forced Phonetic Alignment
This is a two-speaker dataset manually aligned at the phoneme level (Praat's textgrid files provided). Each portion contains 200 instances from both a male and a female speaker. This repo has been used as ground truth for the following papers:
- Souza and Neto, PROPOR 2016
- Dias et al., BRACIS 2020
- Batista and Neto. BRACIS 2021
- Batista and Neto. PROPOR 2022
- Batista et al., EURASIP 2022
One major problem with both male and female datasets is that they were hand aligned according to an unknown phoneset, which nobody really knows where it actually came from. So it required some considerable amount of processing in order to convert the original phoneset to the FalaBrasil phoneset, since the latter is the one which all acoustic models are trained over.
Dataset original phone set:
$ find male/textgrid -name "*.TextGrid" > filelist
$ while read line ; do awk '/phones/,/syll/' $line | grep 'text =' | awk '{print $3}' ; done < filelist | sort | uniq | sed 's/"//g'
4 6 6~ a a~ b d e e~ E f g h h/ h\ i i~ j j~ J
k l L m n o o~ O p s S t u u~ v w w~ z Z _
FalaBrasil original phone set (see also our NLP Generator library, which performs the G2P conversion):
$ find male/textgrid_falabrasil -name "*.TextGrid" > filelist
$ while read line ; do awk '/"phones"/,/"syllphones"/' $line | grep 'text =' | awk '{print $3}' ; done < filelist | sort | uniq | sed 's/"//g'
a a~ b d dZ e e~ E f g i i~ j j~ J k l L m n
o o~ O p r R s S t tS u u~ v w w~ X z Z _
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