ComfyUI Node: Audio retimer

Audio retimer:

The Audio retimer node is designed to manipulate the timing of audio sequences, allowing you to adjust the speed and timing of audio without altering its pitch. This node is particularly useful for applications where synchronization of audio with other media is crucial, such as in video production or interactive media. By leveraging advanced audio processing techniques, the Audio retimer can apply or revert delays in audio sequences, ensuring that the audio aligns perfectly with the desired timing. This capability is essential for maintaining the integrity and quality of audio content, especially when dealing with complex audio-visual projects. The node's primary function is to manage audio timing efficiently, providing a seamless experience for users who need precise control over their audio tracks.

Audio retimer Input Parameters:

audio_BxTxC

This parameter represents the input audio tensor, which is a multi-dimensional array containing the audio data to be processed. The dimensions typically correspond to batch size, time steps, and channels, respectively. This input is crucial as it forms the basis of the audio data that will undergo timing adjustments.

pad_value

The pad_value is an integer used to fill in any out-of-bounds indices during the audio processing. It ensures that the audio tensor maintains its shape and integrity even when certain indices fall outside the expected range. This parameter is important for handling edge cases in audio sequences.

bos_value

The bos_value, or beginning-of-sequence value, is used to mark the start of an audio sequence. It helps in identifying the initial point of the audio data, which can be critical for certain processing tasks that require knowledge of the sequence's starting point.

precomp

This parameter is a tuple containing precomputed indices used for reverting or applying audio delays. It includes time offset indices and gather indices, which are essential for accurately adjusting the timing of the audio data. The precomp parameter ensures that the audio retiming process is efficient and precise.

T

The T parameter represents the original sequence length before any padding is applied. It is used to determine the valid range of indices in the audio tensor, ensuring that the timing adjustments are applied correctly without exceeding the original sequence boundaries.

Audio retimer Output Parameters:

result_BxTxC

The result_BxTxC is the output audio tensor that has undergone timing adjustments. It retains the same shape as the input audio tensor but with the timing modifications applied. This output is crucial for users who need the audio to be synchronized with other media or adjusted for specific timing requirements.

Audio retimer Usage Tips:

• Ensure that the input audio tensor is correctly formatted and contains the necessary dimensions for batch size, time steps, and channels to avoid processing errors.
• Use the pad_value parameter to handle any out-of-bounds indices gracefully, ensuring that the audio tensor maintains its integrity throughout the processing.
• Precompute the necessary indices for the precomp parameter to optimize the retiming process and achieve precise audio adjustments.

Audio retimer Common Errors and Solutions:

"Librosa must be installed to enable pitch preservation"

• Explanation: This error occurs when the node attempts to perform pitch preservation without the necessary librosa library installed.
• Solution: Install the librosa library by running pip install librosa in your terminal to enable pitch preservation features.

"Unexpected tensor shape: <shape>"

• Explanation: This error indicates that the input audio tensor does not have the expected dimensions, which can disrupt the processing.
• Solution: Ensure that the input audio tensor is correctly formatted with the appropriate dimensions for batch size, time steps, and channels. Adjust the tensor shape as needed to match the expected format.