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English Male TTS Model Tortoise V2 Encoding Trained on Multi Dataset Dataset at 22050Hz

English male text-to-speech model trained on the multi-dataset dataset at 22050 Hz and is available to synthesize the English language.

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English male text-to-speech model trained on the multi-dataset dataset at 22050 Hz and is available to synthesize the English language.

Model Description

This English male text-to-speech model is trained on the multi-dataset dataset at 22050 Hz and is available to synthesize the English language. The model is based on the tortoise-v2 encoder.

pip install tts
tts --text "Hello, world!" --model_name tts_models/en/multi-dataset/tortoise-v2

Voice Samples

default (M)

English

English is a West Germanic language that originated in England and is now one of the most widely spoken languages in the world. It belongs to the Indo-European language family and is closely related to German and Dutch. English has a diverse vocabulary and is known for its global influence as a lingua franca. It uses the Latin alphabet with modifications, including the addition of letters such as ð and þ in Old English. English features a complex phonetic system with a wide range of vowel and consonant sounds.

Multi-Dataset

The multi-dataset refers to a combination or fusion of multiple speech datasets. It is often created by merging different datasets to increase the diversity and size of the training data for speech-related tasks.

Tortoise V2

TorToiSe is a text-to-speech (TTS) program which can mimic voices given 2-4 examples. It is composed of five separately-trained neural networks that are pipelined together to produce the final output.

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