Open-source Text-to-Speech Model tts_transformer-tr-cv7 - Free Turkish Male Voice Conversion

Tts Transformer Tr Cv7

Developed by facebook

A Transformer-based text-to-speech model using fairseq S^2, supporting Turkish single male speaker, trained on Common Voice v7 data.

Speech Synthesis Other#Turkish TTS #Single Male Speaker #Common Voice Training

Downloads 15

Release Time : 3/2/2022

Model Overview

This is a text-to-speech (TTS) model capable of converting Turkish text into natural speech, utilizing the Transformer architecture for high-quality speech synthesis.

Model Features

High-Quality Speech Synthesis

Utilizes Transformer architecture to generate natural and fluent Turkish speech.

Single Speaker Model

Focused on the voice style of a single male speaker.

Based on Common Voice Data

Trained using publicly available high-quality speech datasets.

Model Capabilities

Turkish Text-to-Speech

High-Quality Speech Synthesis

Use Cases

Voice Applications

Voice Assistants

Provides speech synthesis capabilities for Turkish voice assistants.

Generates natural and fluent Turkish speech responses.

Audiobooks

Converts Turkish text content into speech.

Creates high-quality audiobook content.

🚀 tts_transformer-tr-cv7

A text-to-speech model based on the Transformer architecture from fairseq S^2, capable of converting Turkish text into a single-speaker male voice.

🚀 Quick Start

This is a text-to-speech model based on the Transformer architecture from fairseq S^2. It supports Turkish and uses a single-speaker male voice. The model is trained on Common Voice v7.

💻 Usage Examples

Basic Usage

from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
from fairseq.models.text_to_speech.hub_interface import TTSHubInterface
import IPython.display as ipd


models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
    "facebook/tts_transformer-tr-cv7",
    arg_overrides={"vocoder": "hifigan", "fp16": False}
)
model = models[0]
TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
generator = task.build_generator(model, cfg)

text = "Merhaba, bu bir deneme çalışmasıdır."

sample = TTSHubInterface.get_model_input(task, text)
wav, rate = TTSHubInterface.get_prediction(task, model, generator, sample)

ipd.Audio(wav, rate=rate)

📄 License

No license information provided in the original document.

📚 Documentation

Model Information

Property	Details
Library Name	fairseq
Task	text-to-speech
Tags	fairseq, audio, text-to-speech
Language	Turkish
Datasets	common_voice
Model Type	Transformer text-to-speech model from fairseq S^2
Training Data	Common Voice v7

📚 Citation

@inproceedings{wang-etal-2021-fairseq,
    title = "fairseq S{\^{}}2: A Scalable and Integrable Speech Synthesis Toolkit",
    author = "Wang, Changhan  and
      Hsu, Wei-Ning  and
      Adi, Yossi  and
      Polyak, Adam  and
      Lee, Ann  and
      Chen, Peng-Jen  and
      Gu, Jiatao  and
      Pino, Juan",
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.emnlp-demo.17",
    doi = "10.18653/v1/2021.emnlp-demo.17",
    pages = "143--152",
}

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