As the cornerstone voice of the development of artificial intelligence, data annotation is an important link in the development of artificial intelligence. Audio or speech recorded in any format can be understood by machines through machine learning. NLP-based speech recognition models require annotated audio so that applications such as chatbots or smart devices can understand the … Read more
As one of the mainstream methods of voice human-computer interaction, voice has unique advantages and charms. A seemingly short piece of voice not only contains the text content that the speaker wants to convey, but also contains the speaker’s identity, language category, speaker’s emotional state, the environment in which they speak, etc. What is Voice … Read more
Speech data of voice annotation is a critical step in the development of speech recognition systems and other natural language processing (NLP) applications. Speech data annotation can be used to create datasets for tasks such as language recognition, speech transcription, keyword discovery, emotion recognition, and speaker recognition. What is Voice Data Annotation? Speech annotation … Read more
Data annotation refers to the process of labeling and voice annotating features of various data such as images, text or speech. Its purpose is to provide machine learning algorithms with enough information to be able to extract useful information from the data and build useful models. Among them, speech annotation is a technology that expresses … Read more
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