Speech Data for ASR/TTS
Speech collection, transcription, speaker diarization, proofreading, and acoustic labeling.
View speech data capabilitiesGuangxi Daring Technology Co., Ltd.
Data collection, cleaning, annotation, QA, and delivery for speech, text, image, video, and 3D point cloud projects.
Founded in 2009, Daring is an AI and language technology company focused on ASEAN language intelligence and language services.
Based on model type, data format, and target market, we provide three core data processing service lines.
Speech collection, transcription, speaker diarization, proofreading, and acoustic labeling.
View speech data capabilitiesCorpus cleaning, parallel corpus alignment, SFT data, QA data, and preference ranking data.
View text and LLM capabilitiesBounding boxes, polygons, segmentation, OCR, video tracking, behavior annotation, and point cloud labeling.
View vision annotation capabilitiesWorkflow preview
Before production begins, we align the data scope, operating rules, QA checkpoints, and delivery format so the right workflow can be selected for each project.
Confirm data type, target language or market, expected volume, quality standards, access rules, and delivery expectations.
Use sample work or trial annotation to validate task rules, sample difficulty, review criteria, and team understanding before scaling up.
Organize production, sampling, rework, QA records, and delivery files so outputs can be reviewed, accepted, and iterated later.
Daring supports multilingual and multimodal data projects through ASEAN language technology, corpus resources, multidisciplinary talent, and platform-based toolchains.
Since 2009, Daring has continued to focus on ASEAN language intelligence, covering machine translation, speech technologies, OCR, corpus engineering, AI data services, and related fields.
Long-term multilingual corpus resources and access to a network of 3,000+ language engineers support multilingual and cross-industry project needs.
The in-house platform and project management workflows support data production, review, second-round review, and delivery tracking; overseas collaboration resources support local collection, language coverage, and regional data processing needs.
Share your data type, target language or market, expected volume, labeling rules, delivery format, timeline, and security requirements. We will assess the project scope and suggest a practical data processing, QA, and delivery plan.