GPT-4o mini TTS - A text-to-speech model launched by OpenAI
GPT-4o mini TTS is a lightweight text-to-speech model from OpenAI. It supports converting text into natural, fluent speech, and allows developers to control the tone, emotion, and style of the speech using commands such as "calm," "...".
What is GPT-4o mini TTS?
GPT-4o mini TTS is a lightweight text-to-speech model from OpenAI. It converts text into natural, fluent speech, allowing developers to control the tone, emotion, and style of the voice with commands such as "calm," "encouraging," and "serious" to suit different scenarios. Based on advanced speech synthesis technology, the model generates high-quality speech output, supporting multiple languages and voices of different genders, ages, and accents to meet diverse user needs. GPT-4o mini TTS is priced at $0.015 per minute.
Main functions of GPT-4o mini TTS
- Text-to-speechIt supports a variety of voice control options, such as accent, emotion, tone, impression, speech rate, intonation, and whisper, and generates high-quality voice files.
- Voice optionsIt offers 11 built-in voice controls to convert text to speech, such as alloy, ash, and coral.
- Multilingual supportSupports speech synthesis in multiple languages.
- Real-time audio streamingIt supports the generation and output of real-time audio streams, which are played gradually during the speech generation process without waiting for the complete audio file to be generated.
- Supports multiple output formatsSupports multiple output formats, such as mp3, opus, aac, etc.
Technical Principles of GPT-4o Mini TTS
- Based on GPT-4o mini modelA text-to-speech model built on GPT-4o mini (a fast and powerful language model). It converts text into naturally-sounding spoken text. The maximum number of input tokens is 2000.
- Emotional and style controlThis is achieved by introducing additional control signals during model training. These control signals can be special markers in the text, metadata, or direct instructions. The model learns the relationship between these signals and speech features, adjusting intonation, emotion, and style when generating speech.
- Multilingual datasetsDuring the training phase, a multilingual dataset is used to learn the speech features and pronunciation rules of different languages, generating natural speech in multiple languages.
- Real-time audio streamingBased on streaming technology, the model outputs audio data step by step while generating speech, allowing the model to respond quickly to the user's voice commands and provide a smooth interactive experience, making it suitable for application scenarios such as real-time voice dialogue systems.
GPT-4o mini TTS project address
- Project official website:https://platform.openai.com/docs/guides/text-to-speech
- Experience the demo online:https://www.openai.fm/
Application scenarios of GPT-4o mini TTS
- Intelligent Customer ServiceProvides users with voice-interactive customer service, responds quickly to issues, and enhances user experience.
- Education and LearningIt reads the textbook aloud and provides audio feedback to help students learn and enhance their interest in learning.
- Smart AssistantIn smart home and mobile device scenarios, it provides voice interaction services such as schedule reminders and information inquiries.
- Content creationConvert text to speech to generate audiobooks, podcasts, audio news, etc.
- AccessibilityProvides voice assistance for visually impaired or reading-difficult individuals, helping them to better access information.