Chapter 1258 The Heavy Stone Weighing on All Domestic Mobile Phone Manufacturers
Yes, there is such a track, and this track is the mobile phone track.
When all the executives of mobile phone manufacturers saw this video, everyone was shocked.
Although the video shows the human-computer interaction of the car, what they saw was different.
If the flower grower can make such human-computer interaction capabilities on the car, it can be applied to the mobile phone, and this human-computer voice interaction capability reveals too many things.
The first is the processor performance.
A powerful processor can quickly process the reception, analysis and feedback of voice commands.
During the voice interaction process, the mobile phone needs to quickly convert the user's voice into text (speech recognition), understand the user's intention (natural language understanding), generate reply content (natural language generation), and convert the reply into voice (speech synthesis) and other operations.
This requires the processor to have a high computing power and processing speed.
For example, when the user issues a command, the processor can complete the acquisition and reply of relevant information in a short time, giving the user a smooth user experience.
In the video, Chen Changliu issued two commands in succession, and the system of this car was able to complete it accurately, which means that the computing power of the car system of this car is super strong.
They don't know that this is their own misunderstanding.
The computing power of the car computer system of Zhonghuajia is not that strong, but there is an artificial intelligence chip to help process information.
On one hand, these executives of mobile phone manufacturers can see that this voice interaction function is not some of the characteristics of artificial intelligence that have been proposed in recent years?
Artificial intelligence should have strong computing and deep learning capabilities.
And how to improve the accuracy of voice recognition, the accuracy of natural language understanding and the rationality of replies, there is no shadow of artificial intelligence in this, they don't believe it.
On the other hand, it is audio processing performance.
Good audio processing performance can ensure that the system can clearly collect the user's voice.
This involves aspects such as microphone quality and noise reduction technology.
High-quality microphones can accurately capture the user's voice and reduce sound distortion.
Advanced noise reduction technology can reduce the interference of ambient noise on voice collection, so that the system can accurately recognize the user's voice commands in a noisy environment.
If these technologies are used in mobile phones, the call quality will definitely rise to a higher level.
For example, in noisy public places such as subways and shopping malls, mobile phones can still accurately receive users' voice commands, which depends on powerful audio collection capabilities.
The audio processor needs to quickly and accurately analyze and process the collected voice signals and convert them into text information.
This requires the audio processing chip to have efficient signal processing algorithms and powerful computing power, which can accurately extract the characteristics of the voice signal and match it with the data in the voice recognition model to achieve accurate voice recognition.
If the audio processing performance is insufficient, it may lead to an increase in the error rate of voice recognition and affect the effect of human-computer voice interaction.
These are just processors that show the car system of the flower planting family.
If it is just the single performance of these aspects, then these mobile phone manufacturers are not so shocked.
However, from the videos of these two consecutive instructions being accurately completed by the car system, they can not only see the powerful performance of the processor, but also see that the flower planting family is really good at system optimization performance.
Take mobile phones as an example. No matter how good the various hardware devices are, if the software optimization ability is not strong, then these hardware devices can't play their own character at all.
Just like a basketball player has top static and dynamic talents, but if he doesn't have a good basketball IQ, then the final result of his playing will not be much achievement.
Because he doesn't know how to use his own advantages.
For a system, voice interaction involves effective management and allocation of various resources during the entire interaction process.
Including processor resources, memory resources, audio resources, etc.
Efficient system optimization can ensure that during voice interaction, the mobile phone can prioritize the allocation of sufficient resources for related programs and tasks to avoid problems such as jamming, delays or crashes caused by insufficient resources.
It also reflects software compatibility.
After all, voice interaction functions usually require good compatibility between the operating system and other applications.
A system with good system optimization performance can ensure that the voice interaction software works closely with other parts of the system to achieve a seamless interactive experience.
At the same time, it can also provide good support for the voice interaction interface of third-party applications, so that users can easily use the voice interaction function when using various applications.
It is precisely because of the above that the executives of all mobile phone manufacturers were shocked.
Isn’t the optimization of processor performance and operating system the most important factor in whether a mobile phone is good enough!
The more these mobile phone manufacturers’ bosses looked at it, the more they became uneasy. Without exception, they quickly convened all executives and technical experts for a meeting and analysis.
Who dares to say that they will leave work at this time? Dinner is eaten in the conference room.
In the Pengcheng headquarters, Mr. Zheng presided over the meeting in person, and Yu Fengzi was also there, but at this time, his position in the entire conference room was not ranked in the top 10, and he could only be said to be sitting slightly behind.
The person who was speaking now was the head of Jingyuan's subsidiary.
"What is revealed in the video now is the computing power of the processor that I just mentioned.
And this processor has some artificial intelligence in it.
We don’t know whether the voice interaction capability of the Flower Planter can be completed by a single automotive-grade chip, or whether there is another chip in it that focuses on computing.
If it is the former, then the performance of this chip is absolutely unique in the market, and no matter whether Qualcomm, Texas Instruments, or Samsung take out their best chips, they can’t compare with it.
But if the car system that completes these voice interactions also has a chip responsible for computing, then its chip performance is still at the mainstream level, and it has not widened the gap with other chip design manufacturers.
It’s just that they have been researching more and longer in voice interaction and other aspects.
But no matter which aspect, I think our research and development direction seems to lag behind Flower Planter.
We are still studying how mobile phone chips can increase frequency while reducing power consumption and other performance, and they have already had their own research on artificial intelligence.
The future is definitely the world of artificial intelligence, and Flower Planter has already walked ahead of everyone in artificial intelligence.
It has to be said that Flower Planter really did not take any detours in choosing its strategic direction. "
Listening to the report from the head of Jingyuan's subsidiary, the young face appeared in Yu Fengzi's mind.
This young face should be the big stone weighing on the heads of all domestic mobile phone manufacturers.
If you want to thrive, you must remove this big stone.
PS: The typos will be corrected first and then corrected.