Fixing Slow and Expensive Text-to-Speech with Open-Weight Models

The article discusses the problems with relying on hosted text-to-speech (TTS) APIs, such as unpredictable latency, high costs, and lack of control over the model. It proposes a solution of using open-weight TTS models that can be self-hosted, providing better performance and cost control.

Details

The article explains that when using hosted TTS APIs, developers often face problems like unpredictable latency, linear scaling of costs, and lack of control over the underlying model. This is because they are outsourcing a critical path to a third-party black box. The solution proposed is to use open-weight TTS models that can be self-hosted. These models, like Voxtral, now rival proprietary APIs in quality and can be run on modest hardware, fitting in around 3 GB of RAM. The article walks through the steps to evaluate hardware requirements, set up the model, and integrate it into an application. This approach allows developers to have more control over the TTS system, improve performance, and reduce costs.