Search Results for author:
Found 9 papers, 4 papers with code
XLSR-Transducer: Streaming ASR for Self-Supervised Pretrained Models
Our experiments on the AMI dataset reveal that the XLSR-Transducer achieves 4% absolute WER improvement over Whisper large-v2 and 8% over a Zipformer transducer model trained from scratch. To enable streaming capabilities, we investigate different attention masking patterns in the self-attention computation of transformer layers within the XLSR-53 model.
TokenVerse: Unifying Speech and NLP Tasks via Transducer-based ASR
In addition to ASR, we conduct experiments on 3 different tasks: speaker change detection, endpointing, and NER.
Implementing contextual biasing in GPU decoder for online ASR
GPU decoding significantly accelerates the output of ASR predictions.
On the Efficacy and Noise-Robustness of Jointly Learned Speech Emotion and Automatic Speech Recognition
New-age conversational agent systems perform both speech emotion recognition (SER) and automatic speech recognition (ASR) using two separate and often independent approaches for real-world application in noisy environments.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks
In this paper, we perform an exhaustive evaluation of different representations to address the intent classification problem in a Spoken Language Understanding (SLU) setup.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Neural Network Based Speaker Classification and Verification Systems with Enhanced Features
This work presents a novel framework based on feed-forward neural network for text-independent speaker classification and verification, two related systems of speaker recognition.
Sound
Speaker Change Detection Using Features through A Neural Network Speaker Classifier
The mechanism proposed here is for real-time speaker change detection in conversations, which firstly trains a neural network text-independent speaker classifier using in-domain speaker data.
Sound
Generation and Pruning of Pronunciation Variants to Improve ASR Accuracy
Speech recognition, especially name recognition, is widely used in phone services such as company directory dialers, stock quote providers or location finders.
Accent Classification with Phonetic Vowel Representation
Previous accent classification research focused mainly on detecting accents with pure acoustic information without recognizing accented speech.
