Audio Annotation Services | AI-assisted Labeling | Speech Data | AI Training Data | Text-to-Speech Data
Overview
Audio Annotation Services | AI-assisted Labeling | Speech Data | AI Training Data | Text-to-Speech Data is an audio and text dataset. Typical applications include speech recognition and speech synthesis (TTS). Relevant sectors: Education and AI & Machine Learning. The listing mentions transcription and polygons / segmentation. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions transcription, polygons / segmentation.
1. Overview We provide various types of Natural Language Processing (NLP) Data services, including: - Audio cleaning - Speech annotation - Speech transcription - Noise Annotation - Phoneme segmentation - Prosodic annotation - Part-of-speech tagging ... 2. Our Capacity - Platform: Our platform supports human-machine interaction and semi-automatic labeling, increasing labeling efficiency by more than 30% per annotator.It has successfully been applied to nearly 5,000 projects. - Annotation Tools: the provider’s platform integrates 30 sets of annotation templates, covering audio, image, video, point cloud and text. -Secure Implementation: NDA is signed to gurantee secure implementation and data is destroyed upon delivery. -Quality: Multiple rounds of quality inspections ensures high quality data output, certified with ISO9001 3. About the provider the provider has global data processing centers and more than 20,000 professional annotators, supporting on-demand data annotation services, such as Speech Data, image, video, point cloud and Natural Language Processing (NLP) Data, etc. Please visit us at https://www.the provider.ai/datasets/speechrecog?=the provider
Technical specifications
Related datasets
More in Speech & Audio →American English Conversational Speech Data by Mobile Phone | 1,136 Hours | Multilingual Language Data
English(the United States) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering generic domain.
- Language
- English
- Volume
- 1,136 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
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