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2 People - British English Natural Conversation Average Tone Speech Synthesis Corpus
British
Average Tone
TTS
Emotion
Paralanguage
Freetalk
Natural Conversation
Multi-level Emotion
English
Interjection
British English 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 datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start 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
English
Application Scenario
Speech Synthesis
Sample
Audio
User: The police officer pulled us over and is walking towards our window. ｜｜｜ [nervous2]<sigh>My breathing is becoming increasingly shallow while <S/>frantically</S> trying to remember if the <S/>vehicle tax</S> and insurance are completely up to date; interacting with law enforcement <S/>invariably</S> causes my stress levels to <S/>skyrocket</S>, even when committing <S/>absolutely no</S> traffic offenses.
Audio
User: We unearthed a pristine Roman chariot beneath the garden shed. ｜｜｜ [surprise3]Finding ancient historical artefacts in suburbia is <S/>genuinely</S> mind-boggling. The wooden wheels survived <S/>thousands</S> of years <S/>perfectly intact</S>. This archaeological discovery <S/>changes</S> our local heritage <S/>completely forever</S>. <A/>My brain</A> refuses to process this <S/>surreal backyard</S> excavation.
Audio
User: What are you humming while cleaning the windows? ｜｜｜ [satisfy]<sing/>I'm <D/>singing</D> in the rain</sing>. It makes the <S/><D/>dreadful</D></S> household chores feel <S/><D/>slightly</D></S> less miserable.
Audio
User: The estate agent says this flat is extremely quiet and peaceful. ｜｜｜ [doubt]<M/>Hmm</M>, I'm not so sure. It's right next to a <S/>really busy main</S> road.
Audio
User: I've been feeling terribly homesick since I moved away for university. ｜｜｜ [empathy]It's totally normal to feel a bit lost in a new city. Being away from your family is <S/><D/>really</D> tough</S>, but I promise it gets easier once you settle into a routine.
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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