Language identification is the task of determining the language of a text.
To our knowledge this is the largest audio corpus in the public domain for speech recognition, both in terms of number of hours and number of languages.
LANGUAGE IDENTIFICATION SPEECH RECOGNITION TRANSFER LEARNING
Language Identification (LID) systems are used to classify the spoken language from a given audio sample and are typically the first step for many spoken language processing tasks, such as Automatic Speech Recognition (ASR) systems.
LANGUAGE IDENTIFICATION SPEECH RECOGNITION SPOKEN LANGUAGE IDENTIFICATION
While applications of transfer learning are common in the fields of computer vision and natural language processing, audio- and speech processing are surprisingly lacking readily available and transferable models.
LANGUAGE IDENTIFICATION MUSIC CLASSIFICATION REPRESENTATION LEARNING SPEAKER IDENTIFICATION SPEECH ENHANCEMENT TRANSFER LEARNING
In this study we address the problem of training a neuralnetwork for language identification using both labeled and unlabeled speech samples in the form of i-vectors.
We used these features in a binary classifier to discriminate between Modern Standard Arabic (MSA) and Dialectal Arabic, with an accuracy of 100%.
DIALECT IDENTIFICATION SPEECH RECOGNITION SPOKEN LANGUAGE IDENTIFICATION
We demonstrate the effectiveness of OpusFilter on the example of a Finnish-English news translation task based on noisy web-crawled training data.
In language identification, a common first step in natural language processing, we want to automatically determine the language of some input text.
Code-switching (CS) refers to a linguistic phenomenon where a speaker uses different languages in an utterance or between alternating utterances.
DATA AUGMENTATION LANGUAGE IDENTIFICATION LANGUAGE MODELLING SPEECH RECOGNITION
Most real world language problems require learning from heterogenous corpora, raising the problem of learning robust models which generalise well to both similar (in domain) and dissimilar (out of domain) instances to those seen in training.
DOMAIN ADAPTATION LANGUAGE IDENTIFICATION SENTIMENT ANALYSIS
Social media messages' brevity and unconventional spelling pose a challenge to language identification.