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2 People -Argentine Spanish Natural Conversation Average Tone Speech Synthesis Corpus

Argentine Spanish
Average Tone
Freetalk
Natural Conversation
TTS
Emotion
Multi-level Emotion
Paralanguage
Spanish
interjection

Argentine Spanish Natural Conversational Speech Synthesis Corpus. Recorded by two native voice talents (one male, one female), this corpus comprises two modules: free dialogue on specified topics and scripted emotional/paralinguistic text performances. It covers single-emotion, multi-emotion, and paralinguistic expressions (including a variety of interjections). Professional linguists have provided three-tier annotation—on text content, emotion labels, and paralinguistic phenomena. The total duration is approximately 11 hours, with audio specifications of 48 kHz sampling rate, 24‑bit depth, WAV format, mono channel. This dataset is designed to fully meet the diverse requirements of TTS research and development in terms of naturalness, expressiveness, and precise annotation.

Paid Datasets
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
SpecificationsSpecifications
Format
48kHz, 24bit, uncompressed wav, mono channel
Recording condition
Professional recording studio
Recording content
Contains following categories: topic(Extemporaneous speaking on a given topic), multi-level emotion, single-level emotion, paralanguage
Features of annotation
Text annotation, emotion annotation, paralinguistic annotation
Device
Professional recording devices and software
Personnel
Professional voice actors; 1 male, 1 female
Language
Argentine Spanish
Application Scenario
Speech Synthesis
Sample Sample
  • Audio

    No me digas... justo hoy tengo las medias con un agujero enorme. Qué pena, encima no llego a tiempo a comprar otras.

  • Audio

    Perdón, che, pensé que era el mío, y lo agarré sin darme cuenta.

  • Audio

    <sigh>Es que no doy más, che. Entre el laburo y la facultad, no tengo tiempo ni para respirar. Encima el auto me está dando problemas y no sé cómo voy a hacer para arreglarlo.

  • Audio

    <A/>Ay, no me lo recuerdes</A>, fue un papelón terrible. Entré confiado al aula equivocada, me senté y estuve como diez minutos escuchando una clase de física que no era la mía.

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Dataset FAQs

What languages and voice characteristics are covered by Nexdata’s speech synthesis datasets?

Nexdata offers speech synthesis datasets covering a broad range of languages, dialects, accents, and voice types, supported by extensive global language resources. Our datasets include diverse speakers, speaking styles, emotions, and recording scenarios to support natural and expressive Text-to-Speech (TTS) model development.

Can Nexdata customize speech synthesis datasets for specific languages or requirements?

Yes. If our off-the-shelf TTS datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, annotation, and quality control services. We can customize datasets based on target languages or dialects, speaker profiles, voice characteristics, emotions, speaking styles, recording environments, and data volume.

How does Nexdata ensure the quality and scalability of speech synthesis datasets?

Nexdata applies multi-stage quality control throughout voice data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual TTS projects and specialized datasets for specific voices, accents, emotions, or speech scenarios.

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