Harnessing the Power of Data to Make Virtual Humans Real

The quality and diversity of datasets determine the intelligence level of AI model. Whether it is used for smart security, autonomous driving, or human-machine interaction, the accuracy of datasets directly affect the performance of the model. With the development of data collection technology, all type of customized datasets are constantly being created to support the optimization of AI algorithm. Though in-depth research on these types of datasets, AI technology’s application prospects will be broader.

In recent years, driven by the market and capital, virtual human-related technologies have made breakthroughs, and application scenarios have been further expanded. According to the forecast of Qubit, the overall market size of China’s virtual human will reach 270 billion Yuan in 2030.

Virtual humans refer to an anthropomorphic image that is constructed using computer technologies such as graphics rendering, motion capture, and deep learning, operates in the form of code and data, and has multiple human characteristics such as appearance, expression, and interaction. AI technologies covered by virtual humans include computer vision (CV), natural language understanding (NLP), natural language generation (NLG), automatic speech recognition (ASR), speech synthesis (TTS), audio-driven facial animation (ADFA), machine Learning (ML), Deep Learning (DL), knowledge graph (KG), knowledge base (KB), etc.

Virtual human are divided according to demand scenarios, mainly including identity-type avatars and service-type avatars. Identity-type avatars are virtual idols, real doll clones, etc. Common application scenarios for service-type avatars include banks, government affairs halls, and broadcasting studios.

For example, under the trend of digital transformation of banks, digital human bank customer service can provide more humanized and convenient services in a way closer to traditional counters through voice interaction. There is also the scene of sign language interpretation. The number of hearing-impaired people in China has reached 27 million, but the number of professional sign language interpreters is probably less than 10,000. The 3D sign language digital human can quickly popularize the national common sign language while filling the gap of professional talents.

With 11 years experience in AI data processing and project management, Nexdata provides multi-scene and multi-type TTS data services to help our customers with the performance improvement of AI models.

● American English Speech Synthesis Corpus-Female

Female audio data of American English,. It is recorded by American English native speaker, with authentic accent and sweet sound. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.

● American English Speech Synthesis Corpus-Male

Male audio data of American English. It is recorded by American English native speakers, with authentic accent. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.

● Japanese Synthesis Corpus-Female

10.4 Hours — Japanese Synthesis Corpus-Female. It is recorded by Japanese native speaker, with authentic accent. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.

● Chinese Mandarin Synthesis Corpus-Female, Emotional

The 13.3 Hours — Chinese Mandarin Synthesis Corpus-Female, Emotional. It is recorded by Chinese native speaker, emotional text, and the syllables, phonemes and tones are balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.

● Chinese Mandarin Average Tone Speech Synthesis Corpus, General

100 People — Chinese Mandarin Average Tone Speech Synthesis Corpus, General. It is recorded by Chinese native speaker. It covers news, dialogue, audio books, poetry, advertising, news broadcasting, entertainment; and the phonemes and tones are balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.

● Chinese Mandarin Songs in Acapella — Female

103 Chinese Mandarin Songs in Acapella — Female. It is recorded by Chinese professional singer, with sweet voice. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the song synthesis.

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If you need data services, please feel free to contact us at info@nexdata.ai.

The future intelligent system will increasingly rely on high-quality datasets to optimize decision-making and automated processes. In the era of data, companies and researchers need to continuously improve their ability of data collection and annotation to make sure the efficiency and accuracy of AI models. To gain an advantageous position in fiercely competitive market, we must laid a solid foundation in data.