This short article discusses transforming text-to-speech (TTS) and voice AI into more human-like speech patterns.
In this blog, Jin Rong, VP of Research at Alibaba DAMO Academy, discusses the current practices, innovations, and future avenues of exploration in AI.
With advancements in artificial intelligence, human-computer interactions are becoming increasingly pervasive.
Participants from renowned research institutes, universities, and companies have shared their newest technologies and products during Interspeech 2017.
This article discusses AI and how to integrate AI with business applications for better outcomes. It also briefs about Alibaba Cloud's image search service.
Reviewing live video content is a resource intensive and complex job. We will explore how AI-based solutions such as Alibaba Cloud’s ApsaraVideo Live can make a difference.
Alibaba Cloud makes its high-accuracy speech recognition model (96.04%), Deep Feedforward Sequential Memory Network (DFSMN), open source on GitHub.
Yan Zhijie, Senior Staff Algorithm Engineer of Alibaba Group recently delivered a keynote speech around the developments of AI, IoT, and voice-based intelligent systems at the AITech2018 Conference.
Dr. Yu Kai of AISpeech discusses how the advances in the natural language processing (NLP) have improved human-machine interactions and how the technology will evolve in the coming years.
Far-field speech recognition is an essential technology for speech interactions, aims to enable smart devices to recognize distant human speech.
In this article, we will take a look at the basic technical architecture of keyword spotting technology, along with the newest research results given ...
Research in ASR (Automatic Speech Recognition) aims to enable computers to "understand" human speech and convert it into text.