ComfyUI Node: VRGDG_LoadAudioSplit_HUMO_TranscribeV3

VRGDG_LoadAudioSplit_HUMO_TranscribeV3:

The VRGDG_LoadAudioSplit_HUMO_TranscribeV3 node is designed to facilitate the process of loading, splitting, and transcribing audio files within the VRGDG framework. This node is particularly useful for AI artists who work with audio data and need to extract meaningful information such as lyrics or spoken words from audio tracks. By leveraging advanced audio processing techniques, this node can handle various audio formats, ensuring that the audio is properly formatted and resampled for optimal transcription accuracy. The node's primary goal is to streamline the workflow of audio data manipulation, making it easier for you to integrate audio content into your creative projects without needing extensive technical knowledge.

VRGDG_LoadAudioSplit_HUMO_TranscribeV3 Input Parameters:

prompt_text

The prompt_text parameter is a string input that allows you to provide a textual prompt or instruction for the node to process. This parameter supports multiline text, enabling you to input detailed instructions or descriptions that the node will use to guide the audio processing and transcription tasks. The default value is an empty string, and there are no specific minimum or maximum values, as it depends on the complexity of the task you wish to perform. This parameter is crucial for customizing the node's behavior to suit your specific needs.

VRGDG_LoadAudioSplit_HUMO_TranscribeV3 Output Parameters:

meta

The meta output provides metadata information about the processed audio, including details such as the audio format, duration, and any other relevant attributes that were extracted during the processing phase. This information is essential for understanding the context and characteristics of the audio data.

total_duration

The total_duration output indicates the total length of the audio file in seconds. This value is important for timing and synchronization purposes, especially when integrating audio with visual elements in your projects.

lyrics_string

The lyrics_string output contains the transcribed text from the audio file, such as lyrics or spoken words. This output is the primary result of the transcription process and can be used for further analysis or integration into your creative work.

index

The index output provides an index or identifier for the processed audio segment, which can be useful for organizing and referencing multiple audio files within a larger project.

instructions

The instructions output contains any specific instructions or notes that were generated during the processing of the audio file. This can include details about how the audio was split or any special considerations that were applied.

total_sets

The total_sets output indicates the number of audio sets or segments that were created during the splitting process. This information is useful for understanding how the audio was divided and for managing multiple segments.

groups_in_last_set

The groups_in_last_set output provides the number of groups or segments within the last set of audio data. This can help you determine the structure and organization of the audio content.

frames_per_scene

The frames_per_scene output specifies the number of frames per scene, which is relevant for synchronizing audio with visual elements, particularly in video production.

audio_m

The audio_m output is a placeholder for additional audio-related metadata or information that may be generated during the processing phase. This output can vary depending on the specific requirements of your project.

VRGDG_LoadAudioSplit_HUMO_TranscribeV3 Usage Tips:

• Ensure that your audio files are in a compatible format and have a clear audio signal for optimal transcription results.
• Use the prompt_text parameter to provide specific instructions or context that can enhance the accuracy of the transcription process.
• Consider the total duration and number of sets when planning your project to ensure that the audio content aligns with your creative vision.

VRGDG_LoadAudioSplit_HUMO_TranscribeV3 Common Errors and Solutions:

Error: "Audio format not supported"

• Explanation: This error occurs when the input audio file is in a format that the node cannot process.
• Solution: Convert your audio file to a supported format, such as WAV or MP3, before using the node.

Error: "Transcription failed due to low audio quality"

• Explanation: The audio quality is too poor for accurate transcription, possibly due to noise or distortion.
• Solution: Use audio editing software to clean up the audio file, removing noise and enhancing clarity before processing it with the node.