Spanish Full-Duplex Conversational Dataset
MarketplaceTwo-speaker Spanish conversations spanning Latin American and European dialects, captured in stereo full-duplex with natural overlap.
Overview
Naturalistic, two-speaker Spanish conversations captured at studio quality in full-duplex stereo. Pairs of native Spanish speakers from Spain, Mexico, Colombia, Argentina, and other Latin American regions discuss everyday topics for the full duration of the session — no read scripts, no scene cuts. Each recording preserves real overlapping speech, backchannels, hesitations, and code-switching, so downstream models train on the way Spanish actually sounds in the wild. Every clip is collected from paid contributors with explicit consent, scene-level provenance, and metadata for speaker demographics, dialect, and acoustic environment.
Key highlights
- 01
Castilian Spain, Mexican, Colombian, and Argentinian Spanish pairings with explicit dialect tags per speaker.
- 02
Voseo, tuteo, and ustedeo register switches captured naturally per regional norm — not flattened into a single neutral form.
- 03
Spanglish code-switching from US-based and border-region bilingual speakers preserved at the utterance level.
- 04
Idiomatic phrases (modismos), regional slang (jerga), and rapid-fire interjections tagged for ASR robustness.
- 05
Disfluencies — filled pauses (uh, um, hmm), false starts, self-repairs, hesitations, laughter, sighs, breath, and throat clears — are preserved with utterance-level timestamps rather than normalised away, so models can learn from them or filter them out as a first-class signal.
Technical specifications
Coverage
Hundreds of paired sessions from native Spanish speakers across Latin America and Spain — coverage extends to bespoke dialects, age groups, and topical targets on request.
Capture specs
Stereo full-duplex audio at 48 kHz / 24-bit per channel from studio-grade microphones, with per-speaker channel isolation, calibrated noise floor, and continuous capture for the full lifespan of each session — not cherry-picked moments.
Annotations
Every session ships with rich speaker / contributor metadata (age, gender, region, dialect, native language, acoustic environment) plus an utterance-level annotation layer: emotion tags (joy, frustration, neutral, surprise, sadness, anger, amusement, empathy, and more), topic tags spanning everyday domains (work, family, sports, travel, health, finance, technology, food, pop culture, politics, education), intent labels (question, agreement, backchannel, hedge, interruption, repair, opinion), turn-taking markers (overlap onset/offset, gap, hold, yield), and prosody cues (pitch contour, stress, laughter, sighs, hesitation, code-switch boundaries). Custom annotation schemas — domain-specific intents, fine-grained emotion taxonomies, named-entity spans, sentiment scoring, or any task-specific labels — are available on request.
Use cases
- Full-duplex conversational AI training and evaluation
- Speaker diarization and Spanish ASR / TTS modelling
- Turn-taking, backchannel, and overlap-handling research
- Emotion-aware and intent-aware voice agent fine-tuning
- Voice agent benchmarks for natural, multi-party conversation
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