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Found 6 papers, 2 papers with code
RASMALAI: Resources for Adaptive Speech Modeling in Indian Languages with Accents and Intonations
We introduce RASMALAI, a large-scale speech dataset with rich text descriptions, designed to advance controllable and expressive text-to-speech (TTS) synthesis for 23 Indian languages and English.
BhasaAnuvaad: A Speech Translation Dataset for 13 Indian Languages
To this end, we introduce BhasaAnuvaad, the largest publicly available dataset for AST involving 13 out of 22 scheduled Indian languages and English spanning over 44, 400 hours and 17M text segments.
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?
While machine translation evaluation has been studied primarily for high-resource languages, there has been a recent interest in evaluation for low-resource languages due to the increasing availability of data and models.
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages
We present INDICVOICES, a dataset of natural and spontaneous speech containing a total of 7348 hours of read (9%), extempore (74%) and conversational (17%) audio from 16237 speakers covering 145 Indian districts and 22 languages.
Input-specific Attention Subnetworks for Adversarial Detection
We also demonstrate that our method (a) is more accurate for larger models which are likely to have more spurious correlations and thus vulnerable to adversarial attack, and (b) performs well even with modest training sets of adversarial examples.
A Joint Training Framework for Open-World Knowledge Graph Embeddings
However, we find that existing approaches suffer from one or more of four drawbacks – 1) They are not modular with respect to the choice of the KG embedding model 2) They ignore best practices for aligning two embedding spaces 3) They do not account for differences in training strategy needed when presented with datasets with different description sizes and 4) They do not produce entity embeddings for use by downstream tasks.
