OpenAI Now Has a Text-to-Speech API - Testing and Overview
TLDRThe video discusses OpenAI's Developer Day announcements, focusing on the new text-to-speech models, Text2Speech-1 and Text2Speech-HD. The narrator highlights the affordability of these models, offering a 10x cheaper alternative to existing services. A demonstration is provided through the OpenAI app, showcasing the conversational AI and its ability to respond in different languages. The video also teases upcoming content on integrating the API into Python scripts and explores the six available voices, with a focus on the Nova voice for its multilingual capabilities.
Takeaways
- 📣 OpenAI's Developer Day brought exciting announcements, including advancements in text-to-speech technology.
- 🗣️ Two new text-to-speech models were introduced: Text2Speech-1 and Text2Speech-HD, with the latter offering higher quality at a cost of 1.5 pennies per thousand characters.
- 💰 The new text-to-speech models are significantly cheaper than previous offerings, with 30,000 characters available for $5, a tenfold decrease in cost.
- 📱 The text-to-speech feature is available in the OpenAI app, allowing users to have chat conversations with the AI bot.
- 🔊 Users can change the voice of the AI bot within the app, with different voices available compared to the API.
- 🎤 Six voices are currently available for OpenAI's text-to-speech: Alloy, Echo, Fable, Onyx, Nova, and Shimmer.
- 🌐 The text-to-speech models are multilingual, capable of responding in different languages based on the input text.
- 🔗 A follow-up video will demonstrate how to use the text-to-speech API in Python scripts.
- 📋 The script provided in the video allows users to convert text to speech using the Nova voice, showcasing the ease of integration with OpenAI's API.
- 🤖 A chatbot script is also discussed, which uses GPT 3.5 turbo for more natural conversational responses.
Q & A
What was the main focus of Open AI's Developer Day announcements?
-The main focus was on the introduction of new text-to-speech models, including Text-to-Speech-1 and Texas Speech HD.
How does the pricing for Open AI's text-to-speech models compare to previous offerings?
-The new models are significantly cheaper, costing 1.5 pennies per thousand characters, which is about 10 times less expensive than the previous pricing.
What are the two text-to-speech models introduced by Open AI?
-The two models introduced are Text-to-Speech-1 and Texas Speech HD.
How much does it cost to use Open AI's text-to-speech models for 30,000 characters?
-It would cost 45 cents to use Open AI's text-to-speech models for 30,000 characters.
What is the name of the app that allows users to interact with the text-to-speech model?
-The app is not named in the script, but it is mentioned that it has a text-to-speech area where users can chat with the bot.
How many voices are currently available for Open AI's text-to-speech models?
-As of the script's recording, there are six voices available: Alloy, Echo, Fable, Onyx, Nova, and Shimmer.
What is the difference between the standard and HD models of Open AI's text-to-speech?
-The script does not provide a clear difference between the standard and HD models, but it mentions that the HD model might be slightly better in quality.
Is Open AI's text-to-speech model multilingual?
-Yes, the model is multilingual and can respond in different languages, as demonstrated by the Japanese and Turkish examples.
How can users change the voice in the text-to-speech app?
-Users can change the voice by going into the settings of the app and selecting from the available voice options.
What is the name of the voice that the speaker found to be quite diverse in its language abilities?
-The speaker found the Nova voice to be quite diverse in its ability to speak different languages.
When can viewers expect to see a video on how to use the Open AI text-to-speech API?
-The speaker plans to release a video on using the API later in the week or early in the following week.
Outlines
🗣️ OpenAI Developer Day Announcements
The video discusses the exciting announcements from OpenAI's Developer Day, focusing on the new text-to-speech feature. The narrator plans to cover other announcements, such as Dolly and GPT-4 Extended context windows, but prioritizes text-to-speech. They mention the affordability of OpenAI's text-to-speech service, comparing it to the previous cost and highlighting the savings. The narrator demonstrates the feature through the app, showcasing a conversation with the AI and the ability to change voices within the app. They also mention a follow-up video on integrating the API into Python scripts.
🤖 Multilingual Chatbot and Voice Options
The narrator explores the chatbot capabilities of OpenAI's GPT 3.5 turbo, released the day before. They demonstrate a chat assistant that mimics human-like conversation and can respond to user inputs. The video shows how to change the voice of the chatbot using different voice options like Alloy, Echo, Fable, Onyx, Nova, and Shimmer. The narrator also tests the multilingual capabilities of the text-to-speech model, showing how it can respond in Japanese and other languages. They note that while the website's output quality is lower, the actual output file has higher fidelity.
🌐 Multilingual Support and Future Plans
The video concludes with a showcase of the multilingual support of the text-to-speech model, demonstrating its ability to respond in various languages. The narrator shares their experience with the Alloy voice and its performance in different languages, noting some inconsistencies. They express their intention to explore more about the text-to-speech model and its features. The narrator also mentions an upcoming video tutorial on using the API and encourages viewers to follow the channel for updates and support the content.
Mindmap
Keywords
💡Open AI Developer Day
💡Text-to-Speech (TTS)
💡GPT-4 Extended Context Windows
💡Affordability
💡API (Application Programming Interface)
💡Voices
💡Multilingual
💡Chatbot
💡Workflow Integration
💡HD Model
Highlights
OpenAI's Developer Day brought exciting announcements, including advancements in text-to-speech technology.
The text-to-speech feature is now available with two models: Text-to-Speech-1 and Text-to-Speech-HD.
The pricing for OpenAI's text-to-speech service is 1.5 pennies per thousand characters, making it significantly more affordable than previous offerings.
The text-to-speech feature is accessible through the OpenAI app, allowing users to have conversations with the AI bot.
The app offers different voices for the text-to-speech feature, with options to change the voice within the settings.
The text-to-speech service is also available for use in Python scripts, with a follow-up video planned to demonstrate API integration.
OpenAI currently offers six voices: Alloy, Echo, Fable, Onyx, Nova, and Shimmer.
The quality of the text-to-speech output is higher when downloaded as a wave file compared to the website's output.
The text-to-speech service is multilingual, capable of responding in different languages such as Japanese and Turkish.
The Nova voice model is particularly versatile and performs well in various languages.
The text-to-speech service can be used to create audio files from text inputs, offering a simple integration into the OpenAI workflow.
The service's speed is notable, with quick responses and file generation.
A demo showcases the conversational capabilities of the AI bot, including generating responses and reading them out in different voices.
The text-to-speech service can be used to create chat assistants that mimic the behavior of GPT models.
The video promises a future demonstration of API usage and integration into code, with a focus on practical applications.
The video concludes with a teaser for upcoming content, including a tutorial on using the API for text-to-speech.