OpenAI TTS-1

OpenAI TTS-1 (Text-to-Speech) model, particularly focusing on its functionality, audio quality, and voice options. The model serves various purposes, including narrating written blog posts, producing spoken audio in multiple languages, and delivering real-time audio output through streaming.

Run openAI Text-to-speech Model with an API

Running the API with Clarifai's Python SDK

You can run the Text-to-speech Model API using Clarifai’s Python SDK.

Export your PAT as an environment variable. Then, import and initialize the API Client.

Find your PAT in your security settings.

export CLARIFAI_PAT={your personal access token}

from clarifai.client.model import Model

input = "I love your product very much"

openai_api_key = OpenAI_API_KEY

inference_params = dict(voice="alloy", speed=1.0, api_key = openai_api_key)

# Model Predict
model_prediction = Model("https://clarifai.com/openai/tts/models/openai-tts-1").predict_by_bytes(input.encode(), input_type="text", inference_params=inference_params)

output_base64 = model_prediction.outputs[0].data.audio.base64

You can also run openai Text-to-speech or tts API using other Clarifai Client Libraries like Java, cURL, NodeJS, PHP, etc here.

Voice Options

OpenAI TTS-1 provides users with the flexibility to choose from six distinct voices (alloy, echo, fable, onyx, nova, and shimmer). These voices are currently optimized for the English language. Users are encouraged to experiment with different voices to find the one that best aligns with their desired tone and target audience.

tts-1 VS tts-1-hd

• Latency vs. Quality Tradeoff: For real-time applications, the standard TTS-1 model is optimized for low latency, making it suitable for applications requiring quick audio responses. However, it may exhibit lower audio quality compared to the TTS-1-HD model.
• Static and Differences: Due to the nature of audio generation, the TTS-1 model may introduce more static in certain situations compared to the TTS-1-HD model. However, the perceptual differences may vary based on the listening device and individual preferences.

Use Cases

The OpenAI TTS-1 model can be applied in various scenarios, including but not limited to:

• Narrating Written Content: Use the TTS-1 model to convert written blog posts, articles, or any textual content into natural-sounding audio.
• Multilingual Audio Production: Leverage the model's capability to produce spoken audio in multiple languages, enhancing accessibility and reach.
• Real-Time Audio Output: Employ the TTS-1 model for applications requiring real-time audio feedback, such as interactive voice responses (IVR) or live streaming.

Disclaimer

Please be advised that this model utilizes wrapped Artificial Intelligence (AI) provided by OpenAI (the "Vendor"). These AI models may collect, process, and store data as part of their operations. By using our website and accessing these AI models, you hereby consent to the data practices of the Vendor. We do not have control over the data collection, processing, and storage practices of the Vendor. Therefore, we cannot be held responsible or liable for any data handling practices, data loss, or breaches that may occur. It is your responsibility to review the privacy policies and terms of service of the Vendor to understand their data practices. You can access the Vendor's privacy policy and terms of service at https://openai.com/policies/privacy-policy. We disclaim all liability with respect to the actions or omissions of the Vendor, and we encourage you to exercise caution and to ensure that you are comfortable with these practices before utilizing the AI models hosted on our site.