160 datasets found

The proposed hierarchical conditional model of end-to-end ASR. The model is trained by gradually increasing the subword units for CTC losses applied to intermediate layers.

Few-shot learning evaluation of universal representations of speech

Large-scale dataset of L1 and L2 scripted and spontaneous transcripts and recordings

A comprehensive study of IPA transcription issues and challenges for Bangla, a novel IPA transcription framework, a DUAL-IPA, a sentence level ipa transcripted parallel corpus...

The Eesen dataset is a speech recognition dataset used in the Eesen framework.

The OpenSeq2Seq dataset is a speech recognition dataset used in the OpenSeq2Seq framework.

The ESPNet dataset is a speech recognition dataset used in the ESPNet framework.

The Kaldi Speech Recognition Toolkit is a widely used dataset for speech recognition.

The dataset used in this paper is not explicitly mentioned, but it is implied to be a speech recognition dataset.

The Corpus of Spoken Dutch (CGN) is a dataset of spoken Dutch recordings.

The dataset consists of subtitles of television shows provided by the Flemish public-service broadcaster VRT. The dataset is used to train language models of spoken Dutch.

The accented English speech recognition challenge 2020: Open datasets, tracks, baselines, results and methods.

GigaSpeech: An evolving, multi-domain ASR corpus with 10,000 hours of transcribed audio.

This paper proposes a flat-start joint training method, named FastInject, to inject unpaired text data into CTC-based ASR training.

TED-LIUM 3 (TL3) is a TED talks dataset. Speaker adaptation data for TL3 was divided randomly, where 2/5 was divided into the train set, 1/5 was divided into the dev set, and...

Speaker anonymization using x-vector and neural waveform models.

The dataset is used for speaker diarization tasks.

An end-to-end (E2E) speaker-attributed automatic speech recognition (SA-ASR) model was proposed recently to jointly perform speaker counting, speech recognition and speaker...

The dataset used in this paper is BD-4SK-ASR, an experimental dataset which is used in the first attempt in developing an ASR system for Sorani Kurdish.

The dataset used in this paper is VoiceHome-2, an extended corpus for multichannel speech processing in real homes.