German Podcasts
Start training, testing or fine-tuning your speech models with 231 hours of German simulated single-person podcasts. This custom-created dataset is perfect for those who are looking for high-quality appropriate for Text-To-Speech foundational model training. Recordings are saved .wav files with a sample rate of 48000 and a bit depth of 24 +bit. Transcription, either with model or human quality, is available as a service.
Start training, testing or fine-tuning your speech models with 231 hours of German simulated single-person podcasts. This custom-created dataset is perfect for those who are looking for high-quality appropriate for Text-To-Speech foundational model training. Recordings are saved .wav files with a sample rate of 48000 and a bit depth of 24 +bit. Transcription, either with model or human quality, is available as a service.
Start training, testing or fine-tuning your speech models with 231 hours of German simulated single-person podcasts. This custom-created dataset is perfect for those who are looking for high-quality appropriate for Text-To-Speech foundational model training. Recordings are saved .wav files with a sample rate of 48000 and a bit depth of 24 +bit. Transcription, either with model or human quality, is available as a service.
Start training, testing or fine-tuning your speech models with 231 hours of German simulated single-person podcasts. This custom-created dataset is perfect for those who are looking for high-quality appropriate for Text-To-Speech foundational model training. Recordings are saved .wav files with a sample rate of 48000 and a bit depth of 24 +bit. Transcription, either with model or human quality, is available as a service.
Dataset specs
Type
Audio
Sound quality
≥48kHz, 16 bit per channel
Region/Locale
de-DE, DE
Amount
30K hours
Leverage
Take your models to the next level. With live, high-quality, German podcast speech data, this dataset is the perfect resource for AI builders working with Conversational AI.
Equip your technologies with the ability to engage in spontaneous dialogue, essential for delivering meaningful interactions to the German-speaking demographic.
Use cases
Train AI models to generate natural-sounding speech from text inputs or to convert written text into spoken audio using the podcast as reference data.
Train LLMs on the podcasts to develop models capable of understanding and generating natural language in the context of natural conversation.
Train AI models to detect emotions and analyze sentiment expressed in the podcast audio.
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Dataset specs
Type
Audio
Sound quality
≥48kHz, 16 bit per channel
Region/Locale
de-DE, DE
Amount
30K hours