At present, in the process of speech recognition research, it is found that the speech database established by adults cannot well understand children’s speech, and many problems exist in recognition errors. Because children’s language has different voice and language characteristics from adults due to its voice and articulation, children’s speech…

In the past ten years, driven by deep learning, speech recognition technology and applications have achieved rapid development. Related products and services equipped with speech recognition technology, such as voice search, voice input method, smart speakers, smart TVs, smart wearables, intelligent customer service, robots, etc. …

INTERSPEECH is the world’s largest and most comprehensive conference on the science and technology of spoken language processing. INTERSPEECH conferences emphasize interdisciplinary approaches addressing all aspects of speech science and technology, ranging from basic theories to advanced applications. [The 23rd INTERSPEECH Conference](https://interspeech2022.org/) …

From the perspective of the current data industry, most speech recognition data is based on reading training data. Reading speech data can solve relatively simple human-machine interaction application scenarios such as mobile phone voice assistants, in-vehicle voice assistants, smart speakers, and smart home appliances. The dialogue or command control between…

In recent years, Automatic Speech Recognition (ASR) has achieved important development in commercial use, and several enterprise-level ASR models based on neural networks have been successfully launched, such as Alexa, Rev, AssemblyAI, ASAPP, etc. Back in 2016, Microsoft Research published an article announcing that they had achieved human performance (measured…

We often use natural language dialogue systems in our daily life, such as Apple’s Siri, Microsoft’s XiaoIce and Amazon’s Alexa. …

In recent years, with the development of deep learning technology, AI dialogue systems have developed from the first generation based on rules and the second generation based on traditional machine learning to the third generation featuring big data and large models. …

Optical character recognition (OCR) is the task of electronic devices such as scanners or digital cameras examining characters in an image and then translating the shapes into computer text using character recognition methods. OCR application scenarios are relatively rich, including natural scenes, handwriting scenes, document recognition, etc. Natural scenario OCR…

Recently, the paper Face2Faceρ: Real-Time High-Resolution One-Shot Face Reenactment, co-authored by Netease AI Lab and Tsinghua University, was selected for ECCV 2022, the top international conference on computer vision. …