How do I fix slight distortion in background in generating sine wave

Question

I'm getting a slight distortion in the background when I run the following code, the distortion is very slight and sounds like buzzing. Because of its subtle nature it makes believe there is some sort of aliasing going on with the byte casting:
Note: code assumes (for now) that the data is in big endian.
Output:
PCM_SIGNED 44100.0 Hz, 16 bit, stereo, 4 bytes/frame, big-endian
(sound)
     public static void playFreq(AudioFormat audioFormat, double frequency, SourceDataLine sourceDataLine)
          System.out.println(audioFormat);
          double sampleRate = audioFormat.getSampleRate();
          int sampleSizeInBytes = audioFormat.getSampleSizeInBits() / 8;
          int channels = audioFormat.getChannels();
          byte audioBuffer[] = new byte[(int)Math.pow(2.0, 19.0) * channels * sampleSizeInBytes];
          for ( int i = 0; i < audioBuffer.length; i+=sampleSizeInBytes*channels )
               int wave = (int) (127.0 * Math.sin( 2.0 * Math.PI * frequency * i / (sampleRate * sampleSizeInBytes * channels) )  );
               //wave = (wave > 0 ? 127 : -127);
               if ( channels == 1 )
                    if ( sampleSizeInBytes == 1 )
                         audioBuffer[i] = (byte) (wave);
                    else if ( sampleSizeInBytes == 2 )
                         audioBuffer[i] = (byte) (wave);
                         audioBuffer[i+1] = (byte)(wave >>> 8);
               else if ( channels == 2 )
                    if ( sampleSizeInBytes == 1 )
                         audioBuffer[i] = (byte) (wave);
                         audioBuffer[i+1] = (byte) (wave);
                    else if ( sampleSizeInBytes == 2 )
                         audioBuffer[i] = (byte) (wave);
                         audioBuffer[i+1] = (byte)(wave >>> 8);
                         audioBuffer[i+2] = (byte) (wave);
                         audioBuffer[i+3] = (byte)(wave >>> 8);
          sourceDataLine.write(audioBuffer, 0, audioBuffer.length);
     }

Answer 1

The data was actually LITTLE-endian, it become apparent when you use a larger amplitude (say 2^15).