- Ano ba namin
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Speciality
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- Off-the-shelf na Data
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- Solutions
- Platform
- kompanya
Mga Off-the-shelf na Voice / Speech / Audio Datasets sa maraming wika para simulan ang iyong mga modelo ng awtomatikong speech recognition (ASR)
Mag-explore ng malawak na hanay ng mga accent, wika, at istilo para sa iyong mga dataset ng pagsasalita.
End-to-end na serbisyo: Kumpletong serbisyo na may ekspertong kaalaman sa domain at mabilis na paghahatid.
Nababaluktot: Pumili ng custom, semi-custom, o off-the-shelf na mga dataset ng boses na may flexible na pagmamay-ari.
Eksperto ng Domain: Mag-hire ng Specialized Domain Expert para sa Mabilis, De-kalidad na AI Dataset.
kalidad: Kumuha ng mga pagsusuri sa kalidad mula sa mga eksperto sa industriya.
licensing: Kumuha ng lisensya na naaayon sa iyong mga pangangailangan.
Etikal na Data: Tinitiyak namin na ang mga nag-aambag ay alam at pumapayag sa paggamit ng data.
Pinapanatili namin ang pinakamataas na legal at etikal na pamantayan, na inuuna ang transparency, awtonomiya ng contributor, at patas na kabayaran.
Speech datasets are collections of audio recordings and metadata used to train and test AI/ML models for tasks such as speech recognition, text-to-speech (TTS), and voice synthesis.
They are essential for training AI to process, understand, and generate human speech, improving the performance of voice assistants, chatbots, and transcription systems.
The datasets include general conversation, call center recordings, wake words/keyphrases, ambient sounds, TTS, spontaneous dialogue, scripted monologues, and singing audio.
The datasets cover over 65 languages and regional accents, including US English, Arabic, Mandarin, Hindi, Spanish, and accents like New York English and African American Vernacular.
Sample rates include 8 kHz, 16 kHz, 44 kHz, and 48 kHz, ensuring compatibility with various AI/ML applications.
Speech datasets are used to train voice assistants, improve automatic speech recognition, build chatbots, train TTS systems, and enhance regional and multilingual models.
Metadata includes speaker demographics, recording environments, transcriptions, timestamps, and audio quality details.
Quality is maintained through high-resolution recordings, noise reduction, expert validation, and alignment with industry standards.
Yes, contributors provide informed consent, and diversity, inclusion, and fair compensation are ensured.
Yes, they can be customized by language, accent, dataset type, or speaker demographics.
Yes, they include thousands of hours of audio, making them suitable for both small and large-scale projects.
The datasets are delivered in standard formats with metadata for easy integration into AI workflows.
Flexible licensing options are available, including off-the-shelf datasets or fully customized solutions.
Costs vary based on dataset size, customization, and licensing needs. Contact us for the best quote.
Timelines depend on the project size and complexity, but are designed to meet deadlines efficiently.
They enable AI systems to understand and generate natural speech, improve transcription, and enhance the performance of voice assistants and chatbots.
