Spanish Female TTS Model Tacotron2 DDC Encoding Trained on Mai Dataset at 16000Hz

Spanish (español) female text-to-speech model trained at 16000 Hz and is available to synthesize the Spanish language.

Model Description

This Spanish (español) female text-to-speech model is trained on the the MAI dataset at 16000 Hz and is available to synthesize the Spanish language. The model is based on the Tacotron 2 encoder.

pip install tts
tts --text "Hello, world!" --model_name tts_models/es/mai/tacotron2-DDC

Voice Samples

default (F)

Spanish (español)

Spanish, also known as Castilian, is a Romance language that originated on the Iberian Peninsula and is now spoken by millions of people worldwide. It belongs to the Indo-European language family and is closely related to other Romance languages such as Portuguese, Italian, and French. Spanish has a rich literary tradition and is known for its clear phonetic system, where the pronunciation of words generally follows consistent patterns. It uses the Latin alphabet with additional characters like ñ and accent marks on certain vowels.

MAI Dataset

The MAI dataset is a collection of speech data used for research in speech processing and related fields. It contains recordings from multiple speakers and is often used for various speech-related tasks.

Tacotron 2 DDC

Tacotron 2 is an exciting technology used for training audio models, specifically for text-to-speech synthesis. It’s like having a virtual voice that can read text aloud in a natural and human-like manner. Tacotron 2 uses deep learning algorithms to learn the patterns and nuances of human speech from large amounts of training data. It takes text as input and converts it into speech by generating a corresponding sequence of audio signals. The model learns how to pronounce words, intonations, and even subtle details like pauses and inflections, making the synthesized speech sound remarkably natural. Tacotron 2 has various applications, including creating voice-overs for videos, aiding individuals with speech disabilities, and even personalizing virtual assistants to have unique and expressive voices. Tacotron 2 with Double Decoder Consistency (DDC) is an advanced TTS model that addresses attention alignment issues during inference. It uses two decoders with different reduction factors to improve alignment performance. DDC enhances Tacotron 2’s architecture, which includes an encoder, attention module, decoder, and Postnet. By measuring consistency between the decoders, DDC mitigates attention problems caused by out-of-domain words or long input texts. It provides more accurate and natural-sounding speech synthesis.