Tagalog Podcast Speech Dataset — 6,500 Hours for ASR and TTS Model Training
Start training, testing or fine-tuning your ASR models on 6,500 hours of Bahasa and Tagalog with this English code-switching speech dataset. Comprising live, non-simulated podcasts recorded by actual podcasters, this channel-separated podcast dataset includes high-quality Filipino ASR training data, saved as .wav files with a sample rate of 48000 and a 32 bit depth. Transcription, at either model or human quality, is available as a service.
Start training, testing or fine-tuning your ASR models on 6,500 hours of Bahasa and Tagalog with this English code-switching speech dataset. Comprising live, non-simulated podcasts recorded by actual podcasters, this channel-separated podcast dataset includes high-quality Filipino ASR training data, saved as .wav files with a sample rate of 48000 and a 32 bit depth. Transcription, at either model or human quality, is available as a service.
Start training, testing or fine-tuning your ASR models on 6,500 hours of Bahasa and Tagalog with this English code-switching speech dataset. Comprising live, non-simulated podcasts recorded by actual podcasters, this channel-separated podcast dataset includes high-quality Filipino ASR training data, saved as .wav files with a sample rate of 48000 and a 32 bit depth. Transcription, at either model or human quality, is available as a service.
Start training, testing or fine-tuning your ASR models on 6,500 hours of Bahasa and Tagalog with this English code-switching speech dataset. Comprising live, non-simulated podcasts recorded by actual podcasters, this channel-separated podcast dataset includes high-quality Filipino ASR training data, saved as .wav files with a sample rate of 48000 and a 32 bit depth. Transcription, at either model or human quality, is available as a service.
Dataset specs
Type
Audio
Sound quality
≥48kHz, ≥32 bit per channel
Region/Locale
tl-PH
Amount
6.5K hours
Leverage
Enhance multilingual AI systems by training models on this code-switching speech dataset of channel-separated conversational podcasts featuring Filipino ASR training data and English speech.
Use cases
Train AI models on this Tagalog TTS dataset for improved code-switching detection, multilingual ASR and conversational speech understanding in real-world mixed-language scenarios.
Improve speaker diarization, transcription accuracy and language modeling for naturally occurring multilingual audio environments using Tagalog and Bahasa podcast speech data.
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Dataset specs
Type
Audio
Sound quality
≥48kHz, ≥32 bit per channel
Region/Locale
tl-PH
Amount
6.5K hours