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Home > All Category Datasets > Speech Recognition Datasets > 822 Hours Tagalog Speech Dataset (Scripted Monologue)

822 Hours Tagalog Speech Dataset (Scripted Monologue)

Tagalog audio dataset

Filipino speech dataset

Tagalog TTS dataset

Tagalog ASR dataset

Tagalog speech dataset

This dataset contains 822 hours of Tagalog speech collected from monologue based on given prompts, covering generic category; news category. Transcribed with text content. Our dataset was collected from extensive and diversify speakers(711 native speakers), geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Specifications

Format

16kHz, 16bit, uncompressed wav, mono channel.

Recording condition

quiet indoor environment, low background noise, without echo;

Recording device

Android smartphone, iPhone;

Speaker

711 native speakers in total, 50% male and 50% female;

Country

the Philippines(PHL)

Language(Region) Code

tl-PH;

Language

Tagalog;

Features of annotation

Transcription text;

Accuracy Rate

Word Accuracy Rate (WAR) 95%;

Sample

Sample

Audio
May kilala ba kayong pangkat-etniko dito sa ating bansa?
Audio
Gusto kong matutong lumangoy mula sa tagapagsanay ng paglangoy.
Audio
Gusto kong lumabas at gumala dahil ang panahon ngayon ay maulap.
Audio
Mag-aral ka upang magkaroon ka ng magandang kalidad ng buhay balang araw.
Audio
Ang iyong tulang pinasa sa iyong guro ay dapat may pagkakatugma.

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What languages and scenarios are covered by Nexdata’s speech recognition datasets?

Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.

Can Nexdata customize speech recognition datasets for specific languages or requirements?

Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.

How does Nexdata ensure the quality and scalability of speech recognition datasets?

Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.

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