13 datasets found

Universal performance benchmark for speech processing

Packet-loss is a common problem in data transmission using Voice over IP. The problem is an old problem, and there has been a variety of classical approaches that were developed...

The dataset used in the paper is not explicitly mentioned, but it is mentioned that the authors trained a 16 layers transformer (Vaswani et al., 2017) based language model on...

This work profoundly analyzes discrete self-supervised speech representations (units) through the eyes of Generative Spoken Language Modeling (GSLM).

The proposed methods were applied on different signals and compared with the results obtained from the cepstrum method.

SpeechBrain is an open-source Conversational AI toolkit based on PyTorch, focused particularly on speech processing tasks such as speech recognition, speech enhancement, speaker...

The Common Voice Spoken Sentence Similarity dataset was created based on the test set of the English subset of Common Voice. To get the similarity of every pair of sentences in...

speechocean762: An open-source non-native English speech corpus for pronunciation assessment.

A hierarchical context-aware modeling approach for multi-aspect and multi-granular pronunciation assessment

The VCTK corpus is an English multi-speaker dataset, with 44 hours of audio spoken by 109 native English speakers.

The WHAM! dataset is used for testing the proposed Bayesian factorised speaker-environment adaptive training and test time adaptation approach for Conformer models.

This paper proposes an approach to the joint modeling of the short-time Fourier transform magnitude and phase spectrograms with a deep generative model.

A popular text-based VC approach is to use an automatic speech recognition (ASR) model to extract phonetic posteriorgram (PPG) as content representation.