194 datasets found

This work showcases a cost-effective method for generating training data for speech processing tasks. The dataset UK-PODS features modern conversational Ukrainian language.

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

The TEDLIUM corpus is a large-volume corpus used for speech recognition and text summarization.

The AVA-Speech dataset is a publicly available dataset of movies densely labeled with speech activity.

A hybrid CNN-BiLSTM VOICE ACTIVITY DETECTOR for voice activity detection (VAD) incorporating both convolutional neural network (CNN) and bidirectional long short-term memory...

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

TED Gesture is a large-scale English-based dataset for co-speech gesture generation, composed of 1766 TED videos from various topics and different narrators.

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 dataset contains audio data from various sources, including podcasts, audiobooks, and voice assistants.

The dataset used for testing the AniTalker framework, containing 4,242 unique speaker IDs, 17,108 video clips, and a cumulative duration of 55 hours.

AMI dataset for speaker diarization and recognition

Multi-scale octave convolutional layers for robust speech recognition

The LRS2 dataset consists of 48,164 video clips from outdoor shows on BBC television. Each video is accompanied by an audio corresponding to a sentence with up to 100 characters.

The LRS3 dataset is a large-scale dataset for visual speech recognition. It consists of thousands of spoken sentences from TED videos.

The AMI Meeting Corpus was collected in three instrumented rooms with meeting conversations. Each room has two microphone arrays to collect 100 hours of far-field...

Open-domain neural dialogue generation (Vinyals and Le, 2015; Sordoni et al., 2015; Li et al., 2016a; Mou et al., 2016; Serban et al., 2016a; Asghar et al., 2016; Mei et al.,...

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

A dataset for Sanskrit ASR

A new Sanskrit speech corpus and a large-vocabulary ASR system for Sanskrit

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...