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Convert audio to text for AI artists, handling various formats and languages with auto sample rate adjustment and language detection.
The VRGDG_TranscribeText node is designed to convert audio input into text, making it an essential tool for AI artists who need to transcribe spoken words into written form. This node leverages advanced audio processing techniques to handle various audio formats and languages, providing a seamless transcription experience. It automatically adjusts the audio sample rate to ensure compatibility and uses a language detection feature to optimize transcription accuracy. The node is particularly beneficial for projects that require converting audio content into text for further analysis or creative purposes, such as generating subtitles, creating text-based art, or enhancing accessibility.
The audio parameter is the primary input for the node, representing the audio data that needs to be transcribed. This parameter accepts audio files in various formats and is crucial for the node's operation as it forms the basis of the transcription process. The quality and clarity of the audio input can significantly impact the accuracy of the transcription, so it is recommended to use clear and noise-free audio for optimal results.
The language parameter specifies the language of the audio content to be transcribed. It can be set to a specific language or left as "auto" for automatic language detection. This parameter influences the transcription process by guiding the model to use the appropriate language model, which can enhance the accuracy of the transcription. When set to "auto," the node attempts to detect the language automatically, which is useful for audio files with unknown or mixed languages.
The full_transcription output parameter provides the complete text transcription of the input audio. This output is a string that contains the transcribed text, which can be used for various applications such as creating subtitles, generating text-based content, or further processing in other nodes. The accuracy and completeness of this output depend on the quality of the input audio and the correct setting of the language parameter.
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