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2 People - Australian English Natural Conversation Average Tone Speech Synthesis Corpus
Australian English
Average Tone
TTS
Emotion
Paralanguage
Freetalk
Natural Conversation
Multi-level Emotion
English
Interjection
Australian 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 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
English
Application Scenario
Speech Synthesis
Sample
Audio
User: You sound a bit rough today. Are you coming down with that bug going around the office? ｜｜｜ [neutral] <H><M/>Yeah</M>, I reckon I might be. My <S/>throat</S> feels incredibly <S/>scratchy</S> this morning, and <H>it's making it <S/>quite difficult to</S> <C/>ke</C> swallow anything besides warm tea and honey right now.
Audio
User: Did you watch that ridiculous compilation video of cats falling off the sofa that I sent you? ｜｜｜ [happy1] <L/>Haha</L>, <M/><S/>yeah</S></M>, I was watching it on the bus this morning, and <L/>hahaha</L>, I was trying so incredibly hard to suppress my laughter in front of <S/>all</S> the busy commuters.
Audio
User: You made it just before the doors closed! Are you alright? ｜｜｜ [neutral] <pant/><M/>Oh</M>, I honestly thought I was gonna miss the train <S/>completely</S></pant>. <L/>Haha</L> I had to sprint all the way from the busy main <S/>road intersection</S>, and I'm <S/>exhausted</S>. <M/>Ah</M>, I'm carrying this heavy <S/>backpack</S> up those <S/>concrete</S> station stairs as well.
Audio
User: The clinic just sent through an email with your scan results attached. ｜｜｜ [anxiety] <M/><D/>Oh</D></M> ma<Elision/>te</Elision>, my heart is absolutely <S/>pounding</S> against my ribs righ<Elision/>t</Elision> now. <M/>Honestly</M>, I <S/>can</S> not bring myself to open that document and <S/>read what the specialist</S> has to say today.
Audio
User: Keep your voice down, there are lots of wild animals out here at dusk. ｜｜｜ [fear2] <M/>Oh my god</M>. Did you just hear that <S/>strange rustling noise</S> coming from the thick <S/>scrub</S>? <R/>I I</R> I'm absolutely <S/>terrified</S> that it might be a massive <S/>snake</S>.
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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