Luel-ai/luel-conversational-speech-samples

Conversational Speech Samples (Luel)

License: All Rights Reserved. Proprietary. Access only for authorized parties; no redistribution or use without permission. See LICENSE.

A multilingual conversational speech dataset: two-speaker dialogue sessions across 8 languages. Each session includes combined audio, speaker-separated audio, and a JSON file containing transcripts with word-level timestamps, speaker diarization, and acoustic metadata.

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Quick Stats

Metric	Value
Languages	8 (English, German, French, Japanese, Hindi, Punjabi, Marwari, Urdu)
Total sessions	116
Total duration	58h 10m (209,423.2s)
Total utterances	22,308
Total words	577,011
Audio files	348 WAV
JSON files	116
Speakers per session	2
Sample rate	48 kHz
Total size on disk	~62.0 GB

Per-Language Breakdown

Language	Sessions	Duration	Utterances	Words	Audio Files
English	16	6h 58m	4,459	61,918	48
Hindi	14	6h 33m	984	67,595	42
Punjabi	14	6h 50m	306	73,787	42
Urdu	16	6h 32m	721	64,311	48
Marwari	17	6h 31m	3,083	75,814	51
German	13	6h 30m	1,571	64,752	39
French	13	5h 42m	1,213	39,633	39
Japanese	13	12h 30m	9,971	129,201	39

Content Categories

Category	Sessions
Spontaneous Discussions	96
Formal Meetings	20

Acoustic Classification

Each session includes an objective acoustic spontaneity score (0-10) derived from overlap rates, turn-taking speed, backchannel frequency, F0 variability, and disfluency patterns.

Acoustic Category	Sessions
formal_interactive	44
spontaneous_natural	40
spontaneous_structured	21
formal_scripted	11

Combined classification (acoustic + content topic): 45/55 sessions (81.8%) classified as spontaneous.

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Structure

Path	Description
en/american/	American English sessions (session_01 - session_06)
en/global/	Global English sessions (session_01 - session_10)
de/	German sessions (13 topic-based folders)
fr/	French sessions (13 topic-based folders)
ja/	Japanese sessions (13 topic-based folders)
hi/	Hindi sessions (14 session folders)
pa/	Punjabi sessions (14 session folders)
mr/	Marwari sessions (17 session folders)
ur/	Urdu sessions (16 session folders)

Each session folder contains exactly four files:

{name}.json              Metadata, transcript, word-level timestamps, acoustic metadata
{name}.wav               Combined audio (both speakers)
{name}_speaker1.wav      Speaker 1 isolated audio
{name}_speaker2.wav      Speaker 2 isolated audio

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JSON Schema

Each session JSON contains these top-level fields:

Field	Type	Description
UUID	string	Unique session identifier
audioURL	string	Relative path to combined audio
speaker1_audioURL	string	Relative path to speaker 1 audio
speaker2_audioURL	string	Relative path to speaker 2 audio
name	string	Session name
durationSeconds	float	Total duration in seconds
language	string	Language name
category	string	spontaneous_discussions or formal_meetings
topic	string	Conversation topic
numSpeakers	int	Always 2
sampleRate	int	Always 48000
metadata	object	Recording context (language, country, region, environment, device, topic)
transcript	string	Full concatenated transcript
speakerTranscript	array	Speaker-attributed utterances with word-level timing
acoustic_metadata	object	Objective acoustic descriptors and classification

speakerTranscript

Array of utterance objects, each containing:

{
  "speaker": "Speaker1",
  "text": "How have you been?",
  "startTime": 0.24,
  "endTime": 1.58,
  "words": [
    { "text": "How", "startTime": 0.24, "endTime": 0.4 },
    { "text": "have", "startTime": 0.42, "endTime": 0.54 },
    { "text": "you", "startTime": 0.56, "endTime": 0.64 },
    { "text": "been?", "startTime": 0.66, "endTime": 1.58 }
  ]
}

acoustic_metadata

Nested object with these sub-groups:

Sub-group	Key Fields
loudness	integrated_lufs, lra_lu, true_peak_dbfs, short-term stats
loudness_consistency	30-second segment mean/std/range LUFS
snr	combined_snr_db (WADA method), quality_tier
clipping	clip_ratio_pct, clipping_event_count, max_consecutive_clipped
vad	speech_rate, silence_rate, overlap_rate, per-speaker rates
turn_taking	turns_per_minute, median_turn_duration_sec, backchannel_count, speaking_rate_std_wpm
noise	noise_rms_db, spectral_centroid_mean_hz, spectral_flatness_mean
environment	reverb_category, c50_db
bandwidth	type (fullband/wideband/narrowband), narrowband_detected
silence	ratio, segments, mean_duration_sec
quality	dnsmos_overall, dnsmos_signal, dnsmos_background, dnsmos_p808
per_speaker	Per-speaker LUFS, SNR, clipping, F0 (mean/std/range/variability), turns, WPM
classification	acoustic_category, spontaneity_score, content_category, is_spontaneous_combined

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Access

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