Merge pull request #1615 from jasonrandrews/spelling

Spelling updates

.wordlist.txt

@@ -3571,4 +3571,121 @@ cloudsdk
 highcpu
 proj
 sln
-uploader
+uploader
+AAPCS
+AOvVaw
+ASR
+AoT
+Authtoken
+Bc
+ConstraintLayout
+DIMPL
+DNNL
+Damo
+Disambiguating
+FMMLA
+FunASR
+FunASR's
+GAxUDSKQEHfyWClAQFnoECA
+ImageOperation
+ImageProcessor
+Inductor
+KleidiCV
+ModelScope
+NOPASSWD
+OSCI
+PMUs
+PUNC
+PWD
+Paraformer
+PerformanceMetrics
+ProfilerActivity
+QAQ
+RemoteImage
+STT
+Sobel's
+SystemC
+VAD
+VER
+VL
+VSIX
+ViTFeatureExtractor
+ViTForImageClassification
+Webhook
+YPQ
+aG
+aQsHmumnZykaFxM
+aaa
+aaaaa
+adduser
+afc
+ahUKEwisi
+alpineImage
+asr
+authtoken
+autoregressive
+baremetal
+chpasswd
+cn
+codebases
+combobox
+compileSdk
+csv
+da
+dai
+databinding
+deallocated
+debconf
+debuggability
+defsym
+demangle
+durations
+dy
+f'Predicted
+fcb
+fmopa
+fsSL
+hotspot
+idx
+iic
+impl
+inductor
+inferencing
+inout
+instain
+intr
+kickstart
+kleidicv
+kleidicvdemo
+lcrt
+lsemihost
+lst
+modelscope
+modularity
+mymodel
+nanoTime
+nat
+ngrok
+nostartfiles
+opi
+paraformer
+picolibc
+preprocessor
+punc
+rct
+recommender
+rtti
+semihost
+sme
+svcntsw
+tvb
+uninstallation
+usermod
+usg
+vad
+ved
+ver
+vit
+wav
+za
+zh

content/learning-paths/embedded-and-microcontrollers/uvprojx-conversion/how-to-2.md

@@ -9,7 +9,7 @@ layout: learningpathall
 ## Project conversion on the command line
 
 Follow the [instructions](https://arm-software.github.io/MDK-Toolbox/01_installation/) to install the `uv2csolution` tool on
-your local machine. The tool is available for all major host operating systems (macOS, LInux, Windows).
+your local machine. The tool is available for all major host operating systems (macOS, Linux, Windows).
 
 Follow the [command line usage instructions](https://arm-software.github.io/MDK-Toolbox/04_uv2csolution/) to convert
 µVision projects to CMSIS solution projects.

content/learning-paths/laptops-and-desktops/windowsperf-vs-extension/sampling-feature.md

@@ -78,7 +78,7 @@ In order to force the release of the lock, a new --force-lock command argument i
 
 However, interrupting a running `wperf` process results in loss of collected data. 
 
-If interrupted, WidowsPerf will show the following error message:
+If interrupted, WindowsPerf will show the following error message:
 
 ```output
 warning: other WindowsPerf process hijacked (forced lock) the wperf-driver, see --force-lock.

content/learning-paths/laptops-and-desktops/windowsperf-vs-extension/spe-feature.md

@@ -35,15 +35,15 @@ SPE provides hardware configuration options to filter the data of interest from
 
 1. You need to install WindowsPerf and WindowsPerf driver with SPE flag enabled. To do so you can download WindowsPerf from the release page and install the version under the SPE folder.
 2. Your arm CPU must have a Statistical Profiling Extension wich has been available since the introduction of the Neoverse N1 CPU platform in 2019.
-3. You need to be runing Windows On arm in Test Mode
+3. You need to be running Windows On arm in Test Mode
 
 ## How to check if you have SPE enabled on your machine
 
 First step is to go to the extension's settings page, available at `Tools -> Options -> Windows Perf -> WindowsPerf Path` and make sure that your WindowsPerf and WindowsPerf driver versions have SPE under their feature string:
 
 ![Extension settings page #center](./settings-page.png)
 
-This step will let you know wether or not you have installed the version of `WindowsPerf` that supports the SPE feature.
+This step will let you know whether or not you have installed the version of `WindowsPerf` that supports the SPE feature.
 
 The second step is to verify if your CPU supports ARM SPE.
 

content/learning-paths/mobile-graphics-and-gaming/android_opencv_kleidicv/process-images.md

@@ -85,7 +85,7 @@ To define its specific image processing logic, each enum constant must override
 
 The processing operations defined here are written to align with the current KleidiCV specification. Specifically, in-place changes are not currently supported, so the source and destination images must be different. 
 
-Generally, only single-channel images are supported; with Gaussian blur being an exception. Sobel’s output type must be 16SC1; dx and dy must be either (1,0) or (0,1); and the border mode must be replicated. Gaussian blur supports a non-zero sigma, but its performance is best with sigma 0.0. Its uplift is most noticeable with a kernel size of 7×7.
+Generally, only single-channel images are supported; with Gaussian blur being an exception. Sobel's output type must be 16SC1; dx and dy must be either (1,0) or (0,1); and the border mode must be replicated. Gaussian blur supports a non-zero sigma, but its performance is best with sigma 0.0. Its uplift is most noticeable with a kernel size of 7×7.
 
 There is also the companion object that provides a utility method `fromDisplayName`. This function maps the string `displayName` to its corresponding enum constant by iterating through the list of all enum values, and returns null if no match is found.