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2 People - Mexican Spanish Natural Conversation Average Tone Speech Synthesis Corpus
Mexican Spanish
Average Tone
Natural Conversation
Freetalk
Emotion
Multi-level Emotion
Paralanguage
TTS
Interjection
Mexican 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.
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
Specifications
Format
: 48kHz, 24bit, uncompressed wav, mono channel
Recording Environment
Professional recording studio
Recording Content
Contains following categories: topic(Extemporaneous speaking on a given topic), multi-level emotion, single-level emotion, paralanguage
Personnel
Professional voice actors; 1 male, 1 female
Annotation Features
Text annotation, emotion annotation, paralinguistic annotation
Equipment
Professional recording devices and software
Language
Mexican Spanish
Application Scenario
Speech Synthesis
Sample
Audio
<pant/> He venido corriendo para no llegar tarde. </pant>Salí de casa justo cuando me di cuenta de la hora y tuve que ir prácticamente sin parar, esquivando gente y semáforos. Ahora estoy completamente sin aire, pero al menos llegué a tiempo.
Audio
Sí, y lo peor no es el dinero. Después de tantos años de amistad jamás imaginé que desaparecería de esta manera, así que me siento profundamente decepcionado. F_PARA_BELLY_LAUGH_0001 <bellylaugh/>¡Jajajajaja!</bellylaugh> ¿Un mes entero para aprender eso? Pensaba que llevabas solo un par de días practicándolo. Bueno, al menos conseguiste hacerme reír un buen rato. No te enojes, amigo, que seguro que con un poco más de práctica terminará saliéndote mucho mejor.
Audio
<awkwardsmile/>Jajaja...</awkwardsmile> Eh... ¿de dónde nos conocemos? Disculpa, es que soy muy malo para recordar caras cuando pasa mucho tiempo. Dame alguna pista porque seguro que en cuanto me digas dónde nos vimos me acordaré.
Audio
<sneer/>Ja.</sneer> ¿Y ya está? ¿De verdad crees que con pedir perdón se arregla todo? Hay cosas que hacen mucho daño y necesitan algo más que unas simples palabras. Si quieres que vuelva a confiar en ti, tendrás que demostrarlo con hechos.
Audio
Muchas gracias. La verdad es que hacía bastante tiempo que no me arreglaba tanto para salir y me da un poco de pena que todo el mundo se haya fijado. Aunque me alegra escuchar tantos cumplidos, todavía no me acostumbro a que la gente comente mi apariencia con tanta naturalidad. Siempre termino sonriendo, dando las gracias y cambiando de tema porque me da muchísima pena ser el centro de atención.
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.
Specifications
Sample
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