quechua

Created by Rosa Y. G. Paccotacya-Yanque, Candy A. Huanca-Anquise, Judith Escalante-Calcina, Wilber R. Ramos-Lovon, Alvaro E. Cuno-Parari

version

1.0.2

license

CC-BY-4.0

usage

commercial

languages

que

format

wav

channel

1, 2

sampling rate

16000, 44100, 48000

bit depth

16

duration

0 days 15:14:04.898905045

files

12416, duration distribution: 0.7 s quechua-1.0.2-file-duration-distribution 21.8 s

repository

audb-public

Description

Quechua contains 12420 recordings of emotional speech in Quechua Collao. Six actors were asked to read words and sentences with nine emotional categories. Four human annotators labeled the recordings for arousal, dominance, and valence.

Example

audios/10415.wav

../_images/quechua-1.0.2-player-waveform.png

Tables

Click on a row to toggle a preview.

ID

Type

Columns

arousal.test

filewise

Rater01, Rater02, Rater03, Rater04

file

Rater01

Rater02

Rater03

Rater04

audios/10004.wav

4

2

1

2

audios/10009.wav

1

1

1

1

audios/10011.wav

4

3

2

1

audios/10016.wav

5

5

5

5

audios/10019.wav

5

5

5

5

8278 rows x 4 columns

arousal.train

filewise

Rater01, Rater02, Rater03, Rater04

file

Rater01

Rater02

Rater03

Rater04

audios/10001.wav

5

5

5

4

audios/10002.wav

2

3

1

2

audios/10003.wav

4

3

2

2

audios/10005.wav

4

4

2

4

audios/10006.wav

2

3

2

2

4138 rows x 4 columns

dominance.test

filewise

Rater01, Rater02, Rater03, Rater04

file

Rater01

Rater02

Rater03

Rater04

audios/10004.wav

3

2

2

3

audios/10009.wav

2

1

1

2

audios/10011.wav

4

4

2

2

audios/10016.wav

4

5

5

4

audios/10019.wav

5

5

5

2

8278 rows x 4 columns

dominance.train

filewise

Rater01, Rater02, Rater03, Rater04

file

Rater01

Rater02

Rater03

Rater04

audios/10001.wav

5

5

5

3

audios/10002.wav

2

3

2

2

audios/10003.wav

3

3

2

2

audios/10005.wav

4

3

4

4

audios/10006.wav

3

3

2

5

4138 rows x 4 columns

emotion.categories.test.desired

filewise

emotion

file

emotion

audios/10004.wav

boredom

audios/10009.wav

sleepiness

audios/10011.wav

sleepiness

audios/10016.wav

anger

audios/10019.wav

anger

8278 rows x 1 column

emotion.categories.train.desired

filewise

emotion

file

emotion

audios/10001.wav

anger

audios/10002.wav

boredom

audios/10003.wav

anger

audios/10005.wav

happiness

audios/10006.wav

boredom

4138 rows x 1 column

emotion.dimensions.test.gold_standard

filewise

arousal, arousal.agreement, dominance, dominance.agreement, valence, valence.agreement

file

arousal

arousal.agreement

dominance

dominance.agreement

valence

valence.agreement

audios/10004.wav

0.3125

0.45513763205741575

0.375

0.75

0.6875

0.45513763205741575

audios/10009.wav

0.0

1.0

0.125

0.75

0.6875

1.0

audios/10011.wav

0.375

0.44098300562505255

0.5

0.5

0.5

0.44098300562505255

audios/10016.wav

1.0

1.0

0.875

0.75

0.3125

1.0

audios/10019.wav

1.0

1.0

0.8125

0.350480947161671

0.0

1.0

8278 rows x 6 columns

emotion.dimensions.train.gold_standard

filewise

arousal, arousal.agreement, dominance, dominance.agreement, valence, valence.agreement

file

arousal

arousal.agreement

dominance

dominance.agreement

valence

valence.agreement

audios/10001.wav

0.9375

0.7834936490538904

0.875

0.5669872981077807

0.0625

0.7834936490538904

audios/10002.wav

0.25

0.6464466094067263

0.3125

0.7834936490538904

0.625

0.6464466094067263

audios/10003.wav

0.4375

0.585421901205575

0.375

0.75

0.5625

0.585421901205575

audios/10005.wav

0.625

0.5669872981077807

0.6875

0.7834936490538904

0.625

0.5669872981077807

audios/10006.wav

0.3125

0.7834936490538904

0.6675

0.45513763205741575

0.6875

0.7834936490538904

4138 rows x 6 columns

files

filewise

speaker, sentence

file

speaker

sentence

audios/10001.wav

a2

A069

audios/10002.wav

a2

B159

audios/10003.wav

a2

A211

audios/10004.wav

a5

B221

audios/10005.wav

a2

H089

12416 rows x 2 columns

sentence

misc

transcription, translation.spa, is_single_word

ID

transcription

translation.spa

is_single_word

H001

Yana

Enamorado (a)

True

H002

Tayta

Padre

True

H003

Kaqniyuq

Adinerado

True

H004

Alaqha

Adorno

True

H005

K'anchayay

Brillar

True

2070 rows x 3 columns

speaker

misc

gender

speaker

gender

a1

female

a2

male

a3

female

a4

female

a5

male

6 rows x 1 column

valence.test

filewise

Rater01, Rater02, Rater03, Rater04

file

Rater01

Rater02

Rater03

Rater04

audios/10004.wav

4

2

1

2

audios/10009.wav

1

1

1

1

audios/10011.wav

4

3

2

1

audios/10016.wav

5

5

5

5

audios/10019.wav

5

5

5

5

8278 rows x 4 columns

valence.train

filewise

Rater01, Rater02, Rater03, Rater04

file

Rater01

Rater02

Rater03

Rater04

audios/10001.wav

5

5

5

4

audios/10002.wav

2

3

1

2

audios/10003.wav

4

3

2

2

audios/10005.wav

4

4

2

4

audios/10006.wav

2

3

2

2

4138 rows x 4 columns

Schemes

ID

Dtype

Min

Max

Labels

Mappings

arousal

float

0

1

arousal.agreement

float

arousal.original

int

1

5

dominance

float

0

1

dominance.agreement

float

dominance.original

int

1

5

emotion

str

anger, boredom, calmness, exitement, fear, happiness, neutral, sadness, sleepiness

gender

str

is_single_word

bool

sentence

object

A001, A002, A003, A004, A005, A006, A007, […], T223, T224, T225, T226, T227, T228, T229, T230

is_single_word, transcription, translation.spa

speaker

object

a1, a2, a3, a4, a5, a6

gender

transcription

str

translation

str

valence

float

0

1

valence.agreement

float

valence.original

int

1

5