VoxLingua107 ECAPA-TDNN Spoken Language Identification Model

Domain:

natural language processing

Record type:

model

This is a spoken language recognition model trained on the VoxLingua107 dataset using SpeechBrain. The model uses the ECAPA-TDNN architecture that has previously been used for speaker recognition. The model can classify a speech utterance according to the language spoken. It covers 107 different languages

VOXLINGUA107: A DATASET FOR SPOKEN LANGUAGE RECOGNITION

This paper investigates the use of automatically collected web audio data for the task of spoken language recognition. We generate semirandom search phrases from language-specific Wikipedia data that are then used to retrieve videos from YouTube for 107 languages.

tsuxalo/Spoken-Language-Translation-Model

A Framework for Translating Hausa Audio Recordings into English Text # Spoken-Language-Translation-

VoxLingua107

VoxLingua107 is a speech dataset for training spoken language identification models. The dataset consists of short speech segments automatically extracted from YouTube videos and labeled according the language of the video title and description, with some post-proc

Development of a Spoken Language Identification System for South African Languages

Spoken Arabic Algerian dialect identification

LSTM-TDNN with convolutional front-end for Dialect Identification in the 2019 Multi-Genre Broadcast Challenge

This paper presents a novel Dialect Identification (DID) system developed for the Fifth Edition of t

VoxLingua107 ECAPA-TDNN Spoken Language Identification Model

Domain:

Record type:

Visit

Connected records

Tasks

Languages