AI Agent 
◆ ◆ ◆ Introduction: On June 6th at the Tsinghua Artificial Intelligence Forum, Academician Zhang Bo warned us to face the current “AI craze” with calmness. Professors Wang Shengjin, Zhang Changshui, Zheng Fang, Microsoft’s Rui Yong, and Sogou’s Wang Xiaochuan also spoke. The brilliant speeches from academic leaders and industry guests sparked a wealth of … Read more
Recently, Alibaba algorithm expert Kun Cheng participated in the ICASSP 2017 conference with the paper titled Improving Latency-Controlled BLSTM Acoustic Models for Online Speech Recognition. Author Kun Cheng communicating with attendees The research of this paper is based on the premise that to achieve better speech recognition accuracy, the Latency-controlled BLSTM model was used in … Read more
Selected from arXiv Authors: Anuroop Sriram et al. Translated by Machine Heart Contributors: Li Yazhou, Li Zenan Baidu recently published a paper proposing the use of Generative Adversarial Networks (GAN) to achieve a robust speech recognition system. The authors state that the new framework does not rely on the domain-specific knowledge or simplified assumptions often … Read more
Excerpt from Awni Translation by Machine Heart Contributors:Nurhachu Null,Lu Xue Since the application of deep learning in the field of speech recognition, the word error rate has significantly decreased. However, speech recognition has not yet reached human-level performance and still faces multiple unresolved issues. This article discusses various aspects of the unresolved problems in speech … Read more
With the popularization of artificial intelligence, speech has become an important interaction method, especially since Baidu’s speech recognition and wake-up technology was launched, it has attracted widespread attention from developers. On August 6, at the 65th “Analysis and Practice of Baidu Speech Recognition and Wake-Up Technology” salon jointly held by Baidu Developer Center and InfoQ, … Read more
Recommended by New Intelligence1 Authorized Reprint by iFlytek Author: iFlytek Research Institute In recent years, artificial intelligence has become increasingly intertwined with human life. People have long envisioned a true Jarvis at their side, hoping that one day computers can truly listen, speak, understand, and think like humans. An important prerequisite for achieving this goal … Read more
The ocean covers approximately 71% of the Earth’s surface and plays a crucial role in global climate regulation, weather patterns, biodiversity, and human economic development. Ocean science focuses on studying the natural characteristics of the ocean, its changing patterns, and the theories, methods, and applications related to the development and utilization of ocean resources. This … Read more
The latest online sharing session by Machine Heart invited Song Kaitao, a researcher at Microsoft Research Asia, to share their recent open-source project JARVIS. Recently, large language models (LLMs), represented by ChatGPT, have garnered significant attention in both industry and academia. However, LLMs, which primarily handle text, still face numerous bottlenecks when addressing many complex … Read more
The emergence of ChatGPT and LLM technology has swept the world with these state-of-the-art language models, attracting not only AI developers but also enthusiasts and organizations exploring innovative ways to integrate and build with these models. Various platforms have emerged rapidly, integrating and facilitating the development of new applications. The popularity of AutoGPT has led … Read more
HuggingGPT is a recent representative in the hot direction of Agents, enabling LLMs like ChatGPT to utilize various models from the HuggingFace community (including but not limited to text-to-image, image-to-text, speech-to-text, and text-to-speech), allowing LLMs to drive other intelligent agents for multimodal capabilities. The original paper and Chinese introduction are as follows: Original Paper HuggingGPT：https://arxiv.org/abs/2303.17580 … Read more