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Sophisticated node for high-quality text-to-speech audio generation with advanced models for natural-sounding speech synthesis.
MegaTTS_VoiceMaker is a sophisticated node designed to facilitate the generation of high-quality text-to-speech (TTS) audio outputs. It leverages advanced TTS models to convert textual input into natural-sounding speech, making it an invaluable tool for AI artists and developers looking to integrate voice synthesis into their projects. The node is capable of processing input text and generating audio that closely mimics human speech, with options to adjust pronunciation strength and voice similarity to achieve the desired output. This flexibility allows users to create personalized and contextually appropriate audio content, enhancing the overall user experience in applications such as virtual assistants, audiobooks, and interactive media.
The input_text
parameter is the primary input for the MegaTTS_VoiceMaker node, representing the text that you wish to convert into speech. This parameter is crucial as it directly influences the content of the generated audio. There are no specific minimum or maximum values for this parameter, but it is important to ensure that the text is clear and free of errors to achieve the best results. The input text should be concise and well-structured to facilitate accurate and natural-sounding speech synthesis.
The language
parameter specifies the language in which the input text is written. This parameter is essential for ensuring that the TTS model applies the correct phonetic and linguistic rules during speech synthesis. The available options for this parameter depend on the languages supported by the TTS model being used. Selecting the appropriate language is crucial for achieving accurate pronunciation and intonation in the generated audio.
The pronunciation_strength
parameter allows you to adjust the emphasis placed on pronunciation during speech synthesis. This parameter can be used to fine-tune the clarity and articulation of the generated speech. A higher value will result in more pronounced and distinct speech, while a lower value will produce a more relaxed and natural-sounding output. The default value is typically set to a balanced level, but you can adjust it based on your specific needs and preferences.
The voice_similarity
parameter controls how closely the generated speech resembles a reference voice. This parameter is useful for creating consistent and recognizable voice outputs, especially when using a specific voice as a reference. A higher value will result in speech that closely matches the reference voice, while a lower value will allow for more variation. The default value is set to provide a good balance between similarity and naturalness, but you can adjust it to suit your requirements.
The audio_output
parameter is the primary output of the MegaTTS_VoiceMaker node, containing the synthesized speech audio. This output is crucial as it represents the final product of the TTS process, which can be used in various applications such as voiceovers, virtual assistants, and multimedia content. The audio output is typically provided in a standard format, such as a waveform, with a sample rate that ensures high-quality playback. The quality and characteristics of the audio output are influenced by the input parameters, allowing you to customize the speech synthesis to meet your specific needs.
The status
parameter provides feedback on the success or failure of the TTS process. It is an important output that helps you understand whether the node executed successfully or encountered any issues. The status message can include information about successful processing, memory cleanup, or any errors that occurred during execution. This feedback is valuable for troubleshooting and ensuring that the TTS process runs smoothly.
pronunciation_strength
and voice_similarity
parameters to find the right balance for your specific application, whether you need clear articulation or a more natural-sounding voice.language
parameter to match the input text's language, ensuring accurate pronunciation and intonation.<error_message>
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