Answer:
C) speech recognition software.
Explanation:
Software that translates the sound of human voice into text is called a speech recognition software.
In Computer science, a speech recognition software is a voice technology application or program which enables the conversion of human voice such as spoken language to computer commands such as text through the use of speech recognition algorithms.
Some examples of speech recognition software are HTK, Kaldi, Voice navigator, Julius etc.
The correct answer is
A. the incorporation of technology into objects we use regularly
#Platogang
Answer:
D. =AVERAGE(A1:A10)
Explanation:
The answer is D.
With option A. It means the cell should contain the minimum figure in the range of cells <em>(A1:A10).</em>
With option B. It means the cell should contain the total sum of the figures in the range of cells <em>(A1:A10).</em>
With option C. It means the cell should contain the maximum figure of the range of cells <em>(A1:A10)</em>
Answer:
Explanation:
<u>Application Differences:</u>
<u>SRAM</u>
SRAM stands for Static Random Access Memory DRAM stands for Dynamic Random Access Memory
Faster access is due to the usage of transistors to store single bit of data
SRAMs are used for cache memories due to faster access time
<u>DRAM</u>
DRAM stands for Dynamic Random Access Memory
DRAMs are used for main memories due to comparatively slower access time.
DRAMs use capacitor to store bits where each capacitor holds a single bit
<u>Parameter differences</u>
<u>Speed:</u> SRAMs are faster due to presence of transistors. DRAMs are slower due to presence of capacitors
<u>Size:</u> Due to complexity involved in the internal circuits, SRAMs are smaller in capacity for same size of the chip. DRAMs are larger as compared to SRAMs since their capacity for a given physical size is more.
<u>Cost:</u> SRAMs are costlier and the per bit storage cost is more than that of the DRAMs. DRAMs are cheaper and the per bit storage cost is less than that of the SRAMs
Answer:
Check the explanation
Explanation:
For 9th byte , it is from 8*8 bit to 9"8th bit so each word consists of 64 bits , to find word address u have to divide 8*8 by 64.
Offset within word = 9*8modulo 64.
For 27th byte , word address = 8*27/64.
Offset within word = 27* 8 modulo 64
For 21th byte , word address = 8*31/64
Offset within the word = 31*8 modulo 64
For 120 , word address = 8*120/64
Offset within the word = 120*8 modulo 64.
