Question

____ used for robotics applications converts spoken words into specific operations.

Answer 1

Answer: Speech recognition technology.

Answer analysis: Speech recognition technology for robotic applications (also known as automatic speech recognition ASR) converts spoken language into specific actions. This technology allows robots to "understand" human speech and convert it into computer-readable input, such as keystrokes, binary codes, or character sequences, and then perform corresponding operations or tasks.

Speech recognition technology has a wide range of applications, including but not limited to the following aspects:

1. Voice control: Users can control the behavior of robots through voice commands, such as moving, opening and closing doors, and performing specific tasks.

2. Voice interaction: When robots interact with humans, speech recognition technology enables humans to communicate with robots through natural language, improving the convenience and naturalness of interaction.

3. Intelligent services: In the fields of smart homes and smart customer service, speech recognition technology enables robots to provide more personalized services, such as adjusting the home environment according to the user's voice commands and answering users' questions.

With the continuous development of technology, the accuracy and robustness of speech recognition technology have been continuously improved, making it perform better and better in robotic applications. At the same time, combined with other technologies such as natural language processing (NLP) and text-to-speech (TTS), a more complex and intelligent robot system can be built to provide users with richer interactive experience and services.

In summary, speech recognition technology is an indispensable part of robot applications. It enables robots to "understand" human speech and convert it into specific operations or tasks, thus achieving more natural and convenient human-computer interaction.

Answer 2

In robot applications, the technology used to convert spoken language into specific operations is mainly speech recognition technology, also known as automatic speech recognition (ASR).

This technology can receive human spoken language input and accurately convert spoken language into computer-readable input, such as text or commands, through a series of complex processing processes, including sound data preprocessing, feature extraction and model training, so as to drive the robot to perform the corresponding operation.

The core of speech recognition technology lies in its ability to convert the vocabulary content in human speech into a computer-recognizable form, which can then be used to control the behavior of the robot.

For example, in smart home scenarios, users can control the switching and adjustment of equipment such as lights and air conditioners through voice commands; in the field of medical robots, doctors can interact with robots through voice to achieve tasks such as remote surgery or patient care.

In order to achieve efficient speech recognition, robots usually integrate a variety of advanced technologies, including sound wave conversion, word meaning conversion, natural language processing (NLP) and speech synthesis (TTS).

These technologies work together to enable robots to accurately understand human language and respond accordingly.

In short, speech recognition technology is one of the key technologies to realize the conversion of oral language into specific operations in robot applications. It greatly improves the intelligence level of robots and the convenience of human-computer interaction.