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audio
audioduration (s)
120
120
language
stringclasses
1 value
speaker_a_snr_db
float64
19.5
34.2
speaker_a_dnsmos
float64
2.39
2.7
speaker_a_bleed_pct
float64
0
49.3
speaker_a_bandwidth_khz
float64
20.7
23.4
speaker_a_speech_ratio
float64
0.26
0.4
speaker_b_snr_db
float64
17
28.9
speaker_b_dnsmos
float64
2.54
3.06
speaker_b_bleed_pct
float64
0
54.1
speaker_b_bandwidth_khz
float64
11.3
23.4
speaker_b_speech_ratio
float64
0.27
0.43
English
23.3
2.53
0
23.2
0.31
17
3.06
0
22.5
0.34
English
24.7
2.39
0
22.5
0.36
25.4
2.87
0
22.6
0.36
English
22
2.62
49.3
22.6
0.32
20.8
2.94
0
22.3
0.43
English
34.2
2.7
44.8
23.4
0.26
20.9
2.76
54.1
23.4
0.27
English
19.5
2.39
48.7
20.7
0.4
28.9
2.54
40.4
11.3
0.37

Couples Call Sample Data

Technical Analysis

Measure Value
Sample rate 48 kHz
Bit depth 24-bit PCM
File format WAV (stereo, one person per channel)
SNR mean 17.0 dB, median 17.1 dB (median speech level vs median level when nobody speaks)
Median speech RMS -29.3 dBFS
Average speech ratio 0.24 per person
Spectral centroid about 0.78 kHz
Full-band audio 82 % of hours carry speech above 20 kHz

Distribution (share of hours):

Measure Low Mid-low Mid-high High
SNR < 10 dB: 14 % 10-20 dB: 50 % 20-30 dB: 31 % >= 30 dB: 5 %
DNSMOS OVRL < 2.0: 14 % 2.0-2.5: 34 % 2.5-3.0: 47 % >= 3.0: 2 %
Bleed (other person's voice in the track) < 5 %: 16 % 5-20 %: 4 % 20-40 %: 24 % >= 40 %: 41 % (other 15 %: not two-person calls)
Bandwidth < 8 kHz: 1 % 8-16 kHz: 8 % 16-20 kHz: 7 % >= 20 kHz: 82 %
Speech ratio < 0.1: 6 % 0.1-0.2: 27 % 0.2-0.3: 39 % >= 0.3: 27 %

Dataset Overview

Item Value
Average call duration 17.3 min (median 11.8 min) for two-person calls
Relationship Romantic partners (couples app)
Erotic content 0.5 % of two-person conversation time
Code-switching Yes, in 24 % of calls, mostly brief (4 % of calls have a minute or more in another language)

Speakers per Conversation

Share of recorded hours.

Speakers Share of hours
1 16.0 %
2 83.7 %
3+ 0.4 %

Conversation Categories

Share of hours of two-person conversations, labelled by a language model from the transcripts.

Questions

Question category Share of hours
Deeper emotional questions 5.8 %
Shared memories 2.1 %
Spicy / intimate topics 1.5 %
Relationship boundaries 1.2 %
Future plans 0.7 %
Funny hypotheticals 0.4 %

Games

Game Share of hours
Draw & Guess 15.8 %
Hot Take 9.3 %
Mini Golf 7.5 %
Same Wavelength 7.1 %
Word games 7.1 %
Connect 4 6.8 %
Who's More Likely 6.6 %
Cooperative puzzles / mysteries 2.3 %
Other games 2.0 %

Other

Activity Share of hours
Free conversation 16.9 %
Setup / technical 6.9 %

Category Subsets

Five example excerpts (up to 2 minutes each, from different calls) for each question category, and five from different games; pick a subset in the dataset viewer.

Subset Category
funny_hypotheticals Funny hypotheticals
shared_memories Shared memories
future_plans Future plans
relationship_boundaries Relationship boundaries
deeper_emotional_questions Deeper emotional questions
spicy_intimate_topics Spicy / intimate topics
games Games (one each: Draw & Guess, Hot Take, Same Wavelength, Connect 4, Mini Golf)

Accent Subsets

Excerpts of up to 2 minutes from different couples; the accent is approximated from the speaker's location. accent_speaker says which channel carries it; each speaker's location is in the metadata.

Subset Accent Samples
accent_eastern_european_influenced_english Eastern European influenced English 1
accent_general_american General American 2
accent_latin_american_influenced_english Latin American influenced English 1
accent_southern_american_english Southern American English 2
accent_southern_european_influenced_english Southern European influenced English 2
accent_western_european_influenced_english Western European influenced English 2

Languages

By the language detected on each track.

Language Share of hours
English 84.2 %
Spanish 4.8 %
German 2.8 %
Finnish 1.8 %
Italian 1.4 %
Filipino 1.2 %
Afrikaans 1.1 %
Swedish 1.0 %
Portuguese 0.8 %
Other 0.9 %

Accents

Estimated from where each speaker was when recording (IP location), not labelled from the audio.

English

Accent Share of hours
General American 27.5 %
Southern American English 22.0 %
Northeastern American English 10.9 %
Western European influenced English 8.6 %
Unknown 5.6 %
Australian English 4.1 %
Southern European influenced English 4.1 %
Southern British English 4.1 %
Canadian English 3.9 %
Northern British English 3.6 %
East Asian influenced English 1.8 %
Middle Eastern influenced English 0.9 %
Maritime Southeast Asian English 0.6 %
Irish English 0.5 %
Southern African English 0.4 %
Latin American influenced English 0.4 %
Caribbean English 0.4 %
Mainland Southeast Asian influenced English 0.4 %
South Asian English 0.3 %
West African English 0.1 %
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