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204 Hours Filipino English Speech Dataset with Real-world Conversational Audio
filipino english speech dataset
philippine english speech dataset
customer service speech dataset
english ASR dataset
voice assistant training data
speech recognition training data
This dataset contains 204 hours of spontaneous conversational English speech collected from Filipino speakers using smartphone devices. The recordings are based on topic-guided conversations covering diverse real-world scenarios. Each audio sample is transcribed with corresponding text content, timestamps, speaker ID, gender, and other metadata attributes. This dataset collects data from around 400 native English-speaking Filipinos, capturing natural conversational patterns, pronunciation variations, and regional English features to support the development of robust speech AI models and improve their performance in real-world 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
Format
16kHz, 16bit, uncompressed wav, mono channel
Content category
Dialogue based on given topics
Recording condition
Low background noise (indoor)
Recording device
Android smartphone, iPhone
Country
Philippine(PHL)
Language(Region) Code
en-PH
Language
English
Speaker
304 native speakers in total, 42% male and 58% female
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.