Mahesh Kumar Nandwana

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Signal Processing — 14 citations into it
• Speech & Audio — 12 citations into it
• Natural Language Processing — 5 citations into it

Whom Mahesh Kumar Nandwana trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Florin Curelaru
2. Pavel Matejka
3. Daniel Povey
4. David Snyder

Papers from Mahesh Kumar Nandwana's perspective

Ordered by how strongly the researchers Mahesh Kumar Nandwana trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Kaldi Speech Recognition Toolkit
2. Analysis of i-vector Length Normalization in Speaker Recognition Systems
3. Probabilistic Linear Discriminant Analysis for Inferences About Identity
4. X-Vectors: Robust DNN Embeddings for Speaker Recognition
5. MUSAN: A Music, Speech, and Noise Corpus
6. Front-End Factor Analysis For Speaker Verification
7. Deep neural network-based speaker embeddings for end-to-end speaker verification
8. Deep Neural Network Embeddings for Text-Independent Speaker Verification
9. Librispeech: An ASR corpus based on public domain audio books
10. Neural Network Bottleneck Features for Language Identification

Their papers

• Approaches to Multi-domain Language Recognition (2018) — 10 citations
• Voices Obscured in Complex Environmental Settings (VOICES) corpus (2018) — 150 citations