28 datasets found

MUSAN is a Music, Speech, and Noise Corpus.

The dataset used in this paper is the Isolet dataset, which contains 4,000 13-channel audio recordings of 100 speakers.

The How-2 dataset contains 2,000h of instructional videos with corresponding text transcripts, video, speech, translations, and summaries.

The NIST 2004 dataset is used to evaluate the quality of fake samples generated with the Generative Adversarial Networks framework.

The dataset used in the paper is the WSJ0-2mix dataset, which contains 30 hours of training data and 10 hours of validation data generated from the WSJ0 dataset. The speech...

The dataset used in the paper is a multimodal categorization task using image data and speech signals.

The database in [28] which was used to evaluate SEGAN in [14].

The dataset used in this paper is a collection of phonetically and phonologically local allophonic distribution in English, where voiceless stops surface as aspirated...

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 first Vietnamese speech dataset for NER task, and the first pre-trained public large-scale monolingual language model for Vietnamese that achieved the new state-of-the-art...

The dataset used for the task of mispronunciation detection for second language learners.

The dataset used in this paper is a speech dataset, which is used for training and testing the proposed LaDiffCodec model.

The dataset used in this paper is a speech dataset, which is used for training and testing the proposed LaDiffCodec model.

The dataset used in the paper is a selection of 14 noisy mixtures created manually from the Voice Bank speech corpus.

The dataset used in the paper is a selection of ten British English speakers – both male and female – from the Voice Bank speech corpus, each of which has around 400 clean...

The Voice Bank speech corpus is a selection of ten British English speakers – both male and female – from the Voice Bank speech corpus, each of which has around 400 clean...

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

The CSTR VCTK Corpus is a dataset of speech recordings of 109 speakers, each with 20 utterances.

RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song) dataset contains 24 professional actors (12 female, 12 male) to offer the performance with good quality and...

The EMODB dataset is a German language speech library containing about 535 audio clips, each ranging from 1 to 10 seconds long, covering seven different emotional expressions.