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147 Hours Tagalog Speech Dataset for ASR & TTS (Telephone Conversations)

Tagalog speech data
Tagalog audio dataset
Filipino speech dataset
Tagalog TTS dataset
Tagalog ASR dataset
Tagalog speech dataset

This dataset contains 147 hours of Tagalog speech collected from dialogues based on given topics. Transcribed with text content, timestamp, speaker's ID, gender and other attributes. Our dataset was collected from extensive and diversify speakers(264 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.

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SpecificationsSpecifications
Format
16kHz 16bit, uncompressed wav, mono channel;
Content category
Dialogue based on given topics;
Recording condition
Low background noise (indoor);
Recording device
Telephony;
Country
the Philippines(PHL);
Language(Region) Code
tl-PH;
Language
Tagalog;
Speaker
264 speakers in total, with 37% male and 63% female;
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise, PII redacted;
Accuracy rate
Word accuracy rate(WAR) 98%
Sample Sample
  • Audio

    Ang bata na nasa wastong edad ay dadaan sa ibat-ibang yugto ng pag-aaral.

  • Audio

    Pagkatapos niya makapagtapos ng sekondarya, tutungo naman ang mag-aaral sa kolehiyo. [N]

  • Audio

    Hindi lamang sa paaralan naka-sentro ang edukasyon. Ito ay makikita rin maging sa ating tahanan at kapaligiran.

  • Audio

    Simula, elementarya, patungo sa ekse- sekondarya o mataas na paaralan.

  • Audio

    Simula pa man nung noong tayo ay mga bata pa, tinuturuan na tayo ng ating mga magulang ng mabuting asal. [N]

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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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