Current home smart speakers can realize functions such as setting alarms by voice, human voice interaction, playing music by voice, checking weather, checking encyclopedias, checking road conditions, etc. After connecting to the Internet, they can realize functions such as understanding future weather, online shopping, making phone calls, etc. In addition, they can also connect to third-party software and control home smart appliances. It can be said that the functions are very powerful.
The advantage of smart speakers over traditional speakers is that they can be operated remotely through voice. The basic principle of smart speakers is that users communicate with the speakers using natural language, and the speakers complete the corresponding tasks by recognizing the user's voice commands, providing help when people are unable to use mobile phones or other electronic devices. Users interact with them more through voice, freeing up their eyes and fingers.
CoreLing Technology provides enterprises with a single-chip-based smart speaker solution. The following is some relevant introduction to the solution.
1. Main technologies of smart speaker solutions:
The working process of smart speakers is voice wake-up, followed by internal processing, and finally finding the corresponding content output, which mainly includes front-end signal processing, voice wake-up, voice interaction and other technologies.
1. Front-end signal processing
Front-end signal processing is the preparatory work before wake-up. When the speaker is working, the microphone is in the sound pickup state. When the sound is received, the sound is processed, including four aspects: speech detection, noise reduction, sound source localization and beamforming.
2. Voice wake-up
Voice wake-up is also known as keyword detection, which means detecting the target keywords in continuous speech. Generally, the number of target keywords is small. Voice wake-up performance depends on the wake-up rate and false wake-up rate. The wake-up rate refers to the probability of detecting the wake-up word in the continuous speech stream. The commonly used implementation methods of voice wake-up are dnn+hmm (deep neural network + hidden Markov model) and lstm+ctc (long short-term memory network + fully connected temporal classification model). At present, the open source wake-up solution can provide SDK, and the wake-up function is generally divided into online and offline versions. In China, iFlytek is the main representative. There are also many open source small speech recognition engines on the Internet that can realize independent voice wake-up functions, with varying performance.
3. Voice interaction
Voice interaction includes speech recognition, natural language understanding, dialogue management, natural language generation and speech synthesis.
Speech recognition technology, also known as automatic speech recognition, can convert speech information into text information. The commands issued by users are voice, but speech cannot be directly analyzed and needs to be converted into text. With the application of deep neural networks, the use of big data and the popularization of cloud computing, speech technology has entered people's daily lives, such as iFlytek, Alibaba's AliGenie, and Himalaya's Xiaoya.
2. Smart speaker solutions can achieve the following functions:
The main control chip of the smart speaker solution of Core Ridge Technology uses our XL32F003S8 single-chip microcomputer, which is packaged as an 8-pin sop. The solution completes the construction of functional modules through program writing, burning, and circuit design. After the product design is completed, it can finally achieve the following functions:
1. Night light function: colorful flashing night light, flashing with the rhythm of music;
2. LED display: external display screen, power display, music display;
3. Clock display: Automatically adapt to the time zone, 24-hour clock display;
4. Voice interaction: Voice replaces previous interactive functions such as touch buttons to facilitate your life.
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Recommended ReadingLatest update time:2024-11-16 23:32
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