diff --git a/scripts/keywordSpotting.dml b/scripts/keywordSpotting.dml
index 6c46f804586..1f4bff40792 100644
--- a/scripts/keywordSpotting.dml
+++ b/scripts/keywordSpotting.dml
@@ -15,8 +15,8 @@ y_shuffled = Xy_shuffled[,num_col] # Labels, the last column
 [X_train, X_test, y_train, y_test] = split(X=X_shuffled, Y=y_shuffled, seed= 13)
 
 # Preprocess with fft Optionally move before split.
-[X_train_re, X_train_im] = stft(X_train, 256, 128)
-[X_test_re, X_test_im] = stft(X_test, 256, 128)
+[X_train_re, X_train_im] = stft(X_train, 4, 2)
+[X_test_re, X_test_im] = stft(X_test, 4, 2)
 
 
 X_train_re_sq = X_train_re^2
@@ -38,15 +38,15 @@ magnitudes_test = sqrt(sum_X_test_sq)
 bias = lm(X=magnitudes_train, y=y_train, reg=1e-1, maxi=10, verbose=TRUE)
 predictions = lmPredict(X=magnitudes_test, B=bias, verbose=FALSE)
 
-sign_predictions = sign(predictions)
-sign_Y = sign(y_test)
+#sign_predictions = sign(predictions)
+#sign_Y = sign(y_test)
 
-correct = sum(sign_predictions == sign_Y)
-total = nrow(y_test)
-accuracy = correct / total
+#correct = sum(sign_predictions == sign_Y)
+#total = nrow(y_test)
+#accuracy = correct / total
 
 #print(toString(predictions))
-print(toString(accuracy))
+#print(toString(accuracy))
 
 R = lmPredictStats(yhat=predictions, ytest=y_test, lm=TRUE)
 print(toString(R))
diff --git a/src/main/java/org/apache/sysds/runtime/matrix/data/LibMatrixSTFT.java b/src/main/java/org/apache/sysds/runtime/matrix/data/LibMatrixSTFT.java
index 0f8ae305a7e..98597f9cd2c 100644
--- a/src/main/java/org/apache/sysds/runtime/matrix/data/LibMatrixSTFT.java
+++ b/src/main/java/org/apache/sysds/runtime/matrix/data/LibMatrixSTFT.java
@@ -65,7 +65,7 @@ public static MatrixBlock[] stft(MatrixBlock re, MatrixBlock im, int windowSize,
 		double[] re_inter = new double[out_len];
 		double[] im_inter = new double[out_len];
 
-		ExecutorService pool = CommonThreadPool.get(1);
+		//ExecutorService pool = CommonThreadPool.get(1);
 
 		for (int h = 0; h < rows; h++){
 			for (int i = 0; i < numberOfFramesPerRow; i++) {
@@ -75,35 +75,14 @@ public static MatrixBlock[] stft(MatrixBlock re, MatrixBlock im, int windowSize,
 						stftOutput_im[h * rowLength + i * windowSize + j] = im.getDenseBlockValues()[h * cols + i * stepSize + j];
 					}
 				}
-				final int finalH = h;
-				final int finalI = i;
-				pool.submit(() -> fft_one_dim(stftOutput_re, stftOutput_im, re_inter, im_inter, finalH * rowLength + finalI * windowSize, finalH * rowLength + (finalI+1) * windowSize, windowSize, 1));
-				awaitParallelExecution(pool);
+				//final int finalH = h;
+				//final int finalI = i;
+				fft_one_dim(stftOutput_re, stftOutput_im, re_inter, im_inter, h * rowLength + i * windowSize, h * rowLength + (i+1) * windowSize, windowSize, 1);
+				//pool.submit(() -> fft_one_dim(stftOutput_re, stftOutput_im, re_inter, im_inter, finalH * rowLength + finalI * windowSize, finalH * rowLength + (finalI+1) * windowSize, windowSize, 1));
+				//awaitParallelExecution(pool);
 			}
 		}
 
-
-		/*
-		for (int i = 0; i < stftOutput_re.length; i++) {
-			System.out.println(stftOutput_re[i] + stftOutput_im[i]);
-		}
-
-		 */
-		int i = 0;
-		while (i < 1000000000) {
-			i = i + 1;
-		}
-		i = 0;
-		while (i < 1000000000) {
-			i = i + 1;
-		}
-		i = 0;
-		while (i < 1000000000) {
-			i = i + 1;
-		}
-
-
-
 		return new MatrixBlock[]{new MatrixBlock(rows, rowLength, stftOutput_re), new MatrixBlock(rows, rowLength, stftOutput_im)};
 	}