ComfyUI Node: 🗣️ VRGDG_LoadAudioSplit_HUMO_TranscribeV2

🗣️ VRGDG_LoadAudioSplit_HUMO_TranscribeV2:

The VRGDG_LoadAudioSplit_HUMO_TranscribeV2 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 need to work with audio data, as it automates the transcription process, allowing for seamless integration of audio content into creative projects. By leveraging advanced audio processing techniques, this node ensures that audio files are accurately split and transcribed, providing users with a reliable method to extract textual information from audio inputs. This capability is essential for projects that require synchronization of audio with visual elements or for generating subtitles and captions. The node's primary goal is to streamline the workflow for handling audio data, making it an invaluable tool for artists looking to enhance their multimedia projects with precise audio-to-text conversion.

🗣️ VRGDG_LoadAudioSplit_HUMO_TranscribeV2 Input Parameters:

prompt_text

The prompt_text parameter is a required input that accepts a string, which can be multiline. This parameter serves as the initial text input that guides the transcription process. The content of prompt_text can influence how the audio is processed and transcribed, as it may contain specific instructions or context that the node uses to optimize the transcription accuracy. There are no explicit minimum or maximum values for this parameter, but it is important to provide clear and concise text to ensure the best results. The default value is an empty string, which means that if no specific prompt is provided, the node will proceed with its default transcription settings.

🗣️ VRGDG_LoadAudioSplit_HUMO_TranscribeV2 Output Parameters:

meta

The meta output parameter provides metadata information about the processed audio. This can include details such as the audio format, duration, and other relevant attributes that describe the audio file.

total_duration

The total_duration output parameter indicates the total length of the audio file in seconds. This information is crucial for understanding the scope of the audio content and for planning subsequent processing steps.

lyrics_string

The lyrics_string output parameter contains the transcribed text from the audio file. This is the primary output of the node, providing a textual representation of the audio content that can be used for various applications, such as generating subtitles or integrating with other multimedia elements.

index

The index output parameter represents the position or segment index of the audio file that has been processed. This is useful for keeping track of multiple audio segments when working with larger audio files.

instructions

The instructions output parameter provides any specific instructions or notes that were generated during the transcription process. These can offer insights into how the transcription was performed or highlight any areas that may require further attention.

total_sets

The total_sets output parameter indicates the total number of audio segments or sets that were created during the splitting process. This helps users understand how the audio was divided and can assist in organizing the transcribed content.

groups_in_last_set

The groups_in_last_set output parameter specifies the number of groups or segments within the last set of audio that was processed. This can be important for ensuring that all parts of the audio have been accounted for and transcribed.

frames_per_scene

The frames_per_scene output parameter provides information on the number of frames per scene, which is relevant for synchronizing audio with visual content. This is particularly useful for projects that involve video editing or animation.

🗣️ VRGDG_LoadAudioSplit_HUMO_TranscribeV2 Usage Tips:

• Ensure that the prompt_text is clear and relevant to the audio content to improve transcription accuracy.
• Use the total_duration output to plan the timing and synchronization of audio with other media elements.
• Review the instructions output for any additional guidance or notes that may enhance the transcription process.

🗣️ VRGDG_LoadAudioSplit_HUMO_TranscribeV2 Common Errors and Solutions:

Error: "Audio file not found"

• Explanation: This error occurs when the specified audio file cannot be located or accessed by the node.
• Solution: Verify that the audio file path is correct and that the file is accessible from the current working directory.

Error: "Unsupported audio format"

• Explanation: The node encountered an audio file format that it cannot process.
• Solution: Convert the audio file to a supported format, such as WAV or MP3, and try again.

Error: "Transcription failed"

• Explanation: The transcription process was unable to complete successfully, possibly due to poor audio quality or incorrect settings.
• Solution: Check the audio quality and ensure that the prompt_text is appropriate. Adjust any relevant settings and attempt the transcription again.