diff --git a/source/use_case/asr/src/AsrClassifier.cc b/source/use_case/asr/src/AsrClassifier.cc
index df26a7f..c18bd88 100644
--- a/source/use_case/asr/src/AsrClassifier.cc
+++ b/source/use_case/asr/src/AsrClassifier.cc
@@ -91,7 +91,7 @@
             printf_err("Output tensor expected to be %dD\n", minTensorDims);
             return false;
         } else if (static_cast<uint32_t>(outputTensor->dims->data[outColsIdx]) < topNCount) {
-            printf_err("Output vectors are smaller than %u\n", topNCount);
+            printf_err("Output vectors are smaller than %" PRIu32 "\n", topNCount);
             return false;
         } else if (static_cast<uint32_t>(outputTensor->dims->data[outColsIdx]) != labels.size()) {
             printf("Output size doesn't match the labels' size\n");
diff --git a/source/use_case/asr/src/MainLoop.cc b/source/use_case/asr/src/MainLoop.cc
index c5a26a4..9950541 100644
--- a/source/use_case/asr/src/MainLoop.cc
+++ b/source/use_case/asr/src/MainLoop.cc
@@ -208,7 +208,7 @@
     /* Check to make sure that the input tensor supports the above
      * context and inner lengths. */
     if (inputRows <= 2 * inputCtxLen || inputRows <= inputInnerLen) {
-        printf_err("Input rows not compatible with ctx of %u\n",
+        printf_err("Input rows not compatible with ctx of %" PRIu32 "\n",
             inputCtxLen);
         return 0;
     }
diff --git a/source/use_case/asr/src/UseCaseHandler.cc b/source/use_case/asr/src/UseCaseHandler.cc
index 7199785..43b17dc 100644
--- a/source/use_case/asr/src/UseCaseHandler.cc
+++ b/source/use_case/asr/src/UseCaseHandler.cc
@@ -131,7 +131,8 @@
 
             /* Audio clip must have enough samples to produce 1 MFCC feature. */
             if (audioArrSize < mfccParamsWinLen) {
-                printf_err("Not enough audio samples, minimum needed is %u\n", mfccParamsWinLen);
+                printf_err("Not enough audio samples, minimum needed is %" PRIu32 "\n",
+                    mfccParamsWinLen);
                 return false;
             }
 
@@ -151,7 +152,7 @@
                                 str_inf.c_str(), str_inf.size(),
                                 dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
 
-            info("Running inference on audio clip %u => %s\n", currentIndex,
+            info("Running inference on audio clip %" PRIu32 " => %s\n", currentIndex,
                  get_filename(currentIndex));
 
             size_t inferenceWindowLen = audioParamsWinLen;
@@ -237,7 +238,7 @@
     static bool SetAppCtxClipIdx(ApplicationContext& ctx, uint32_t idx)
     {
         if (idx >= NUMBER_OF_FILES) {
-            printf_err("Invalid idx %u (expected less than %u)\n",
+            printf_err("Invalid idx %" PRIu32 " (expected less than %u)\n",
                        idx, NUMBER_OF_FILES);
             return false;
         }
@@ -269,7 +270,7 @@
         for (const auto & result : results) {
             std::string infResultStr = audio::asr::DecodeOutput(result.m_resultVec);
 
-            info("For timestamp: %f (inference #: %u); label: %s\n",
+            info("For timestamp: %f (inference #: %" PRIu32 "); label: %s\n",
                  result.m_timeStamp, result.m_inferenceNumber,
                  infResultStr.c_str());
         }
diff --git a/source/use_case/asr/src/Wav2LetterPostprocess.cc b/source/use_case/asr/src/Wav2LetterPostprocess.cc
index 9157a6f..b1bcdc8 100644
--- a/source/use_case/asr/src/Wav2LetterPostprocess.cc
+++ b/source/use_case/asr/src/Wav2LetterPostprocess.cc
@@ -69,7 +69,7 @@
                                                   tensor->dims->data[arm::app::Wav2LetterModel::ms_outputRowsIdx],
                                                   lastIteration);
             default:
-                printf_err("Unsupported axis index: %u\n", axisIdx);
+                printf_err("Unsupported axis index: %" PRIu32 "\n", axisIdx);
         }
 
         return false;
@@ -83,7 +83,7 @@
         }
 
         if (static_cast<int>(axisIdx) >= tensor->dims->size) {
-            printf_err("Invalid axis index: %u; Max: %d\n",
+            printf_err("Invalid axis index: %" PRIu32 "; Max: %d\n",
                 axisIdx, tensor->dims->size);
             return false;
         }