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Sophisticated node for zero-shot text-to-speech synthesis in NTCosyVoice suite, enabling quick adaptation to new voices.
The NTCosyVoiceZeroShotSampler
is a sophisticated node designed to facilitate zero-shot text-to-speech synthesis. This node is part of the NTCosyVoice suite, which aims to provide advanced voice synthesis capabilities without the need for extensive training data specific to the target voice. The zero-shot approach allows the system to generate speech in a new voice using only a small amount of reference audio, making it highly versatile and efficient for applications where quick adaptation to new voices is required. This capability is particularly beneficial for AI artists and developers who need to create diverse and dynamic audio content without the overhead of training a model from scratch for each new voice. The node leverages advanced machine learning techniques to ensure high-quality speech synthesis, maintaining naturalness and intelligibility even in cross-lingual scenarios.
The audio
parameter is expected to be an audio input that provides the reference voice for the zero-shot synthesis. This input is crucial as it serves as the basis for the model to adapt and generate speech in the desired voice. The audio should be clear and of good quality to ensure the best synthesis results.
The speed
parameter controls the rate at which the synthesized speech is generated. It is a floating-point value with a default of 1.0, allowing for a range between 0.5 and 1.5. Adjusting this parameter can help match the tempo of the synthesized speech to the desired output, providing flexibility in how the speech is delivered.
The text
parameter is a string input that contains the text to be converted into speech. This parameter supports multiline input, allowing for the synthesis of longer passages of text. The quality and clarity of the synthesized speech are directly influenced by the text input, so it should be well-structured and free of errors.
The tts_speech
output parameter provides the synthesized audio in the form of a waveform. This output is the result of the zero-shot synthesis process, delivering speech that matches the input text and is adapted to the reference voice provided in the audio input. The output is designed to be high-quality and ready for use in various applications, from multimedia projects to interactive voice systems.
speed
parameter to find the optimal speech rate for your specific application. A slower speed might enhance clarity, while a faster speed could be more engaging for dynamic content.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.