diff --git a/docs/use_cases/asr.md b/docs/use_cases/asr.md
index 0969b63..134a706 100644
--- a/docs/use_cases/asr.md
+++ b/docs/use_cases/asr.md
@@ -32,7 +32,7 @@
 First, the audio data is normalized to the range (`-1`, `1`).
 
 > **Note:** Mel-Frequency Cepstral Coefficients (MFCCs) are a common feature that is extracted from audio data and can
-> be used as input for machine learning tasks. Such as keyword spotting and speech recognition. For implementation
+> be used as input for machine learning tasks such as keyword spotting and speech recognition. For implementation
 > details, please refer to: `source/application/main/include/Mfcc.hpp`
 
 Next, a window of 512 audio samples is taken from the start of the audio clip. From these 512 samples, we calculate 13
diff --git a/docs/use_cases/kws.md b/docs/use_cases/kws.md
index d6bfc3a..13ce7c3 100644
--- a/docs/use_cases/kws.md
+++ b/docs/use_cases/kws.md
@@ -31,7 +31,7 @@
 First, the audio data is normalized to the range (`-1`, `1`).
 
 > **Note:** Mel-Frequency Cepstral Coefficients (MFCCs) are a common feature that is extracted from audio data and can
-> be used as input for machine learning tasks. Such as keyword spotting and speech recognition. For implementation
+> be used as input for machine learning tasks such as keyword spotting and speech recognition. For implementation
 > details, please refer to: `source/application/main/include/Mfcc.hpp`
 
 Next, a window of 640 audio samples is taken from the start of the audio clip. From these 640 samples, we calculate 10
diff --git a/docs/use_cases/kws_asr.md b/docs/use_cases/kws_asr.md
index 8b2f123..8d7b396 100644
--- a/docs/use_cases/kws_asr.md
+++ b/docs/use_cases/kws_asr.md
@@ -52,7 +52,7 @@
 First, the audio data is normalized to the range (`-1`, `1`).
 
 > **Note:** Mel-Frequency Cepstral Coefficients (MFCCs) are a common feature that is extracted from audio data and can
-> be used as input for machine learning tasks. Such as keyword spotting and speech recognition. For implementation
+> be used as input for machine learning tasks such as keyword spotting and speech recognition. For implementation
 > details, please refer to: `source/application/main/include/Mfcc.hpp`
 
 Next, a window of 640 audio samples is taken from the start of the audio clip. From these 640 samples, we calculate 10