# Converging Telco-Grade Solutions 5G and beyond to Support Production in Industry 4.0
## 6 Speech Technology in Industry 4.0  
The use of mobile data has increased dramatically over the last two decades. Furthermore, Internet of Things devices consume more data than previously. As a result, effective deployment of 5G technological advances has become necessary. 5G offers useful features such as low latency, high speed, reliability, and network slicing. Meanwhile, many challenges accompany 5G implementation, including operational costs, the high capacity of connected devices, end-to-end latency, quality of experience, and data rate [214]. As a  
\begin{table}
\begin{tabular}{c p{284.5 pt}} \hline \hline
**Ref.** & **Contribution** \\ \hline
[183] & Clarifies the essential dimensioning and accessibility plan concepts, as well as some operability challenges, and includes real-world examples. \\ \hline
[197] & TelcoFog can be deployed at the Telecom Network’s edge to provide a variety of 5G services, lowering the Total Cost of Ownership. \\ \hline
[196] & There was a proposal for a meta-model for the Telco Cloud system. They propose two types of data centers (DC): remote and close. \\ \hline
[200] & The Telco Cloud model is built on the Cloud4 NFV platform, which will result in significant cost savings. \\ \hline
[199] & There are five layers to the Telco Cloud architecture. Each of these layers has a few sub-segments that may or may not have partners. \\ \hline
[176] & The Telco Cloud technology is an open platform that connects users and applications to assist telecom operators in lowering CAPEX and OPEX costs. \\ \hline
[198] & As a solution to the hardware integration and management problem, a Telco Cloud model was presented, in which the appropriate resource management layer was added to the proposed Telco Cloud computing paradigm. \\ \hline \hline \end{tabular}
\end{table}
Table 7: Contributions from previous studies on the Telco cloud.  
result, 5G attempts to implement some technological solutions to increase the network's traffic capacity [215].  
In 5G IoT scenarios, human-machine interactions are increasingly based on speech, which is the most natural mode of communication. Speech could be used in a variety of industries, including computer control via natural speech rather than written instructions, IoT, security, and healthcare. In general, people can speak faster and more easily than they can type, resulting in faster communication. This ability may allow people to focus on multiple tasks at once. Cloud-based speech recognition services are used in emerging 5G network-based IoT applications, so we need high accuracy, low latency, noise robust, scalable, and reliable speech services to provide useful and usable solutions.  
According to [216], recent voice recognition technology may have a very high accuracy estimated at 99 percent. This means it has progressed to the most advanced technical stage of the process. Because it produces remarkable results, it is becoming increasingly popular among researchers for use in the industrial field. Furthermore, voice-activated speakers are becoming increasingly popular among their users. According to [217], 72 percent of those who own it say it has become a regular part of their lives.  
This chapter aims to discuss the state-of-the-art in speech technology in industrial applications using 5G or IoT, as well as the technical design challenges that researchers face when attempting to implement it. Furthermore, we summarize methods and tools, as well as consider future trends.