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2 People - American English Natural Conversation Average Tone Speech Synthesis Corpus
American English
Natural Conversation
Freetalk
Average Tone
TTS
Multi-level Emotion
Paralanguage
Interjection
American 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: I might have accidentally finished off that leftover pizza in the fridge last night. ||| [anger1]Are you <S/>kidding</S> me right now? I was saving that <S/>exact</S> slice for my lunch.
Audio
User: Are you doing okay over there? You have been coughing since we started the meeting. ||| [anxiety]<M/>Oh</M> man, <H>I have this really annoying tickle in the back of my throat that absolutely will <S/>not</S> go away no matter <S/>how</S> much <S/>warm</S> water I drink today.
Audio
User: Because he was outstanding in his field! ||| [embarrass]<L/>Hahaha</L>, that is such a <S/>wonderfully terrible pun</S>, but I really cannot help giggling at how incredibly simple and <S/>absolutely ridiculous it is</S>, <L/>hahahaha</L>.
Audio
User: I bought a weird looking VHS tape at the yard sale this morning for fifty cents. ||| [curious]I'm sort of surprised you actually <S/>bought</S> an old <S/>tape</S> like that. Do you even have a working video player at your house to plug in and see what kind of <S/>random home movie</S> is recorded on there right now?
Audio
User: Just toss it into his bed and tell him to sleep. ||| [anxiety]<M/>Alright</M>, I threw it into the corner of the room. <M/>Whew</M>, he is finally lying back down. I'm gonna slowly <S/>tiptoe</S> back to bed before he changes his mind and wants to play <S/>fetch</S> with me all over again.
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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