You can quickly set and manage the parameters for conversion with basic and alternative presets. The Sound Normalizer also allows editing ID3 tags (build-in Mp3 ID3 Tag Editor) with support for ID3v1 and ID3v2 tags, converting Wav to Mp3 files and Mp3 to Wav files (build-in Wav/Mp3 Converter) using Lame MP3 Encoder 3.97, listening Mp3 and Wav files using the build-in audio player. The Mp3 Normalizer allows to modify the volume of a scanned file directly without usage tags. The mp3 normalization is fulfilled under standard Replay Gain. The mp3 normalization and test is fulfilled on an average level (RMS normalization). The wav normalization and test is fulfilled on a peak level (Peak Normalization) and on an average level (RMS normalization). ![]() The volume level is represented graphically and in percentage. It contains batch processor and it allows to fulfill the batch test, batch normalization and batch converting of Mp3 and Wav files. It is reached by the test and normalization of the volume level of Mp3 and Wav files. On the Levels toolbar, you can click the Normalize button dropdown arrow to see more options including the Auto Normalize Settings.The Sound Normalizer improves and regains a quality of Mp3 and Wav (PCM 8, 16, 24, 32 bits, DSP, GSM, IMA ADPCM, MS ADPCM, AC3, MP3, MP2, OGG, A-LAW, u-LAW) files. ![]() Click the dropdown arrow to see more options. Click the button to apply the normalization. When you load a file into the app, if the Auto Normalize Detection is enabled and normalization is suitable, a Normalize button will appear on the Waveform. Several platforms use this such as Spotify (-14dB), YouTube (-14dB), Apple Music (-16dB), Facebook (-18dB), and TV / Radio (-23dB). The Integrated Loudness (EBU) normalization method uses the R-128, an international standard for loudness normalisation and maximum level of audio signals. Normalization is made because the human ear is less sensitive at low audio frequencies, especially below 1000 Hz, than at high audio frequencies. The Perceived Loudness (dBA) normalization method uses A-weighted decibels which is an expression of the relative loudness of sounds in air as perceived by the human ear. Note that no adjustment is made for humans' differing perception of different frequencies. The actual algorithm used takes the RMS of each 50ms window in the file, ranks the windows from loudest to quietest, and then takes the 95th percentile of these as the 'peak'. As with Average Loudness, the 'Normalize Peak Level' for this method should be set lower than for the Peak method, because the peak loudness is lower than the peak sample. This is the best method to use to make multiple tracks sound equally loud. The 'Peak Loudness (RMS)' normalization method attempts to normalize according to how loud the loudest part of the file will sound. The 'Normalize Peak Level' for this method should be set much lower than for the Peak method, because the average loudness will always be lower than the peak sample. Multiple files normalized to the same peak level using this method will have equal average loudness. The 'Average Loudness (RMS)' normalization method normalizes according to the file's average loudness, or volume. With the Normalize Peak Level set to 100% (0dB), the whole file will be amplified so that the peak reaches 0dB. Normalization is then done with this value as the peak. ![]() The 'Peak' normalization method finds the sample of the greatest magnitude within the file. Another reason to normalize is to have multiple tracks sound equally loud, or to have equal average loudness. Usually you normalize files to 100% as the last stage in production to make it the loudest possible without distortion. To 'normalize' is to adjust the volume so that the loudest peak is equal to (or a percentage of) the maximum signal that can be used in digital audio.
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