56 datasets found

MIX dataset

Unified codec language models for speech recognition, synthesis, and translation.

Neural codec language models are zero-shot text to speech synthesizers.

A large language model that can speak and listen.

A comprehensive collection of contemporary codec models, resulting in the creation of the CodecFake dataset.

The dataset used in the paper for automatic prosody prediction for Chinese speech synthesis using BLSTM-RNN and embedding features.

Aozorabunko dataset used for pre-training of PnG BERT model.

Wikipedia2 and Aozorabunko datasets used for pre-training of PnG BERT model.

Minimally-supervised speech synthesis method based on diffusion models with minimal supervision. Introduces the CTAP method as an intermediate semantic representation and uses...

A speech corpus of size 7,000 used for training and validation of the FCI module.

Scaling text-to-speech to a large and wild dataset has been proven to be highly effective in achieving timbre and speech style generalization, particularly in zero-shot TTS....

Development of HMM-based Indonesian speech synthesis.

A small-footprint, fast, stable network for on-device text-to-speech synthesis

The TIMIT corpus is a large database of speech recordings used for speaker recognition and speech synthesis tasks.

The TIMIT corpus is a widely used benchmark for speech recognition tasks. It contains 3,696 training utterances from 462 speakers, excluding the SA sentences. The core test set...

The internal dataset contains 6 million real-world driving scenarios from Las Vegas (LV), Seattle (SEA), San Francisco (SF), and the campus of the Stanford Linear Accelerator...

Corpus and voices for Catalan speech synthesis.

The Voice Bank Corpus is a large regional accent speech database containing over 10 hours of speech data from 20 speakers.

A GAN vocoder which is able to generate wideband speech wave-forms from parameters coded at 1.6 kbit/s.

The Kazakh speech corpus (KSC) contains around 332 hours of transcribed audio comprising over 153,000 utterances spoken by participants from different regions and age groups, as...