Indonesian Average Tone Speech Synthesis Corpus | 3 People | Text-to-Speech(TTS) Data
4 People - Indonesian Average Tone Speech Synthesis Corpus.
- Language
- Indonesian
- Volume
- 3 people
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
Commercial training data from specialist providers. Listings show what each source advertises; licensing is confirmed with the provider before any agreement.
4 People - Indonesian Average Tone Speech Synthesis Corpus.
Indonesian(Indonesia) Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts, covering economy, entertainment, news, informal…
This dataset contains human-authored communication samples in Indonesian, curated across common real-world interaction formats such as Email – Longer, structured written…
This dataset contains human-authored communication samples in Indonesian, curated across common real-world interaction formats such as Notes – Informal or…
This dataset contains human-authored communication samples in Indonesian, curated across common real-world interaction formats such as SMS – Short-form conversational…
The provider delivers a unified data development platform for creating production-ready datasets across the most demanding AI domains, including Physical AI (robotics,…
Clean-licensed Indonesian conversational speech, without the gray zones.
The language of West Java is not a language — it is two, braided sentence by sentence.
A multilingual domain-specific parallel translation corpus dataset built from Korean-to-English, Korean-to-Arabic, and Korean-to-Chinese translations specialized in…
A multilingual general-domain preference evaluation dataset built from questions in areas such as politics, finance, and society and three AI-generated answers, with…
A multilingual legal preference evaluation dataset built from legal-domain questions and three AI-generated answers, with law majors and legal professionals providing…
A multilingual legal QA text dataset covering civil, criminal, and public law, built from expert-level questions and answers reviewed and refined by law majors and legal…
A multilingual public administration QA dataset built from tables and contextual sentences in press releases from government agencies such as the Ministry of the…
A high-difficulty reasoning and benchmark dataset constructed in accordance with Korea-specific HLE standards based on Indonesian encompassing advanced academic-level…
Authoring commands by native Indonesian speakers, covering 8 modules: Make phone calls, Play control, On-board control, Map, Music, Radio, Video, and Weather.
A low-resource language parallel corpus dataset built by translating Korean written and spoken-style source texts into eight low-resource languages, including…
A multilingual AI model evaluation dataset built by having expert reviewers re-evaluate and verify automatically scored response quality according to defined evaluation…
A multilingual QA benchmark dataset built for evaluating rapidly changing knowledge and factual accuracy across general domains, curated by professional annotators.
A multilingual instruction-following QA text dataset built for tasks that require generating answers based on referenced documents.
A multilingual general-domain QA text dataset covering topics such as politics, finance, and society, reviewed and refined by professional annotators.
A multilingual multi-turn chat text dataset built directly by professional annotators, including speaker information, proper nouns, chat slang, typo tags, and natural…
A multilingual STEM preference evaluation dataset built from STEM-domain questions and three AI-generated answers, with STEM majors providing scoring, feedback, and…
A multilingual STEM QA text dataset built from expert-level questions and answers in science, technology, engineering, and mathematics, reviewed and refined by STEM…
A high-difficulty text dataset developed to train expert-level reasoning in LLMs based on doctoral examination questions and solutions in Indonesian.