Rhasspy
Piper TTS - Spanish (MLS)
Spanish female voice. Natural prosody.
About This Model
The Piper TTS - Spanish (MLS) model by Rhasspy is a compact text-to-speech solution designed for generating natural-sounding Spanish speech from written text. With just 0.02 billion parameters, this model is exceptionally lightweight, making it highly efficient for devices with limited computational resources. Despite its small size, the Piper TTS - Spanish (MLS) delivers surprisingly high-quality audio, which is particularly useful for applications requiring real-time or near-real-time speech synthesis, such as voice assistants, automated announcements, and interactive educational tools.
In its size class, the Piper TTS - Spanish (MLS) stands out for its efficiency and performance. It manages to punch above its weight by providing clear and intelligible speech, which is often a challenge for smaller models. The model's low VRAM requirement of 0.1–0.1 GB makes it suitable for deployment on a wide range of devices, including Raspberry Pis, smartphones, and other edge devices. This makes it an excellent choice for developers and hobbyists looking to integrate text-to-speech capabilities into projects without the need for powerful hardware. Users who prioritize portability and resource efficiency, while still requiring good audio quality, will find this model particularly appealing.
Check Your Hardware
See which quantizations of Piper TTS - Spanish (MLS) your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| ONNX | 16 | 0.063 GB | 0.15 GB | 0.3 GB | 80% |
Frequently Asked Questions
How much VRAM do I need to run Piper TTS - Spanish (MLS)?
Piper TTS - Spanish (MLS) requires 0.15GB VRAM minimum with ONNX quantization. For full precision, you need 0.15GB VRAM.
What is the best quantization for Piper TTS - Spanish (MLS)?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.