Deliverables relating to the Speech Technology University Unit (Notes Courtesy to Dr. Andrea De Marco)
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Updated
Jan 3, 2024 - Jupyter Notebook
Deliverables relating to the Speech Technology University Unit (Notes Courtesy to Dr. Andrea De Marco)
ESO speech dataset: an English-language speech corpus of the oncology domain for ASR training and benchmarking and MT benchmarking.
A 1300-hour English speech and text corpus of parliamentary debates for streaming ASR training and benchmarking, speech data filtering and speech data verbatimization.
Utilities for preprocessing the Switchboard and WSJ corpora in Python3
Code for Dialogs Re-enacted Across Languages (DRAL)
This project is devoted to the dialects of the Siberian Tatars. Around 100,000 people are spoken in these dialects. The language of Siberian Tatars consists of three dialects: Tobolo-Irtysh, Tom and Baraba.
A free licensed Persian TTS dataset including 6+ hours of audio-text pairs with subject
This project is devoted to the Siberian Ingrian Finnish language. Siberian Ingrian Finnish – is a language (dialect) used by the descendants of the settlers who spoke Lower Luga Ingrian Finnish varieties and Lower Luga Ingrian (Izhorian) who have been living in Omsk oblast (previously they lived also in other regions of the Siberia) for more tha…
Voice activity detection and speaker gender segmentation audiovisual corpus
ManaTTS is the largest open Persian speech dataset with 86+ hours of transcribed audio. Includes data collection pipeline and tools. Suitable for Persian text-to-speech models.
Downloader for the voxforge corpus
Split ELAN Annotation Files and corresponding speech files into a corpus format for common ASR and Forced Aligners
AsoSoft Speech Corpus can be used for spoken language processing tasks in Central Kurdish such as speech recognition, speaker recognition, gender identification, and phonetic analysis.
An open-access corpus of conversational bilingual speech in Cantonese and English
SpeCT - Speech Corpus Toolkit for Praat. Documentation: https://lennes.github.io/spect/
Tools for ASR Corpus Generation from Online Video
ClovaCall dataset and Pytorch LAS baseline code (Interspeech 2020)
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