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 is a relatively common type of annotation in the data annotation industry. Voice data labeling means that the labeler “extracts” the text information and various sounds contained in the voice, and then transcribes or synthesizes it. The marked data is mainly used for artificial intelligence machine learning, which is equivalent to giving computer systems Equipped with “ears”, it has the function of “hearing”, so that the computer can realize accurate speech recognition.

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What are the types of voice data annotation?

Speech data annotation is generally performed by annotators who are familiar with speech and language. Annotators listen to recordings and label them according to the task at hand. Speech data annotations are typically stored in databases and can be used to train and evaluate machine learning models.

1. ASR voice transcription

ASR is automatic speech recognition technology, which is a technology that converts human speech into text. Speech transcription is the process of transcribing speech data into text data, and it is a relatively common tagging form in the field of data tagging.

2. Voice cutting

Speech segmentation is the process of identifying boundaries between words, syllables, or phonemes in natural language. Speech segmentation is an important subproblem in the field of speech recognition technology.

3. Emotional judgment

Human speech contains a lot of information. Emotional information in speech is a very important behavioral signal that reflects human emotions. At the same time, recognizing the emotional information contained in speech is an important part of realizing natural human-computer interaction.

4. Voiceprint recognition

Voiceprint recognition is a kind of biometrics recognition technology. It achieves the purpose of identifying unknown voices by analyzing the characteristics of one or more voice signals. Simply put, it is a technology to identify whether a certain sentence is said by someone. .

Who are the companies that do voice data annotation?

Creating a voice annotation Q320

As a professional data collection and labeling company, Jinglianwen Technology is one of the data service industry manufacturers in the Yangtze River Delta region. It is committed to adopting self-built data labeling bases, training a full-time labeling team of 930 people, and building global The data collection resource network in 52 countries has a self-built data labeling platform and all-category labeling tools, and supports voice engineering, including voice cutting, ASR voice transcription, voice emotion judgment, voiceprint recognition and labeling and other labeling types, which can be fully Fanwei meets the various data labeling needs of partners and empowers the industry.

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