Search Results for author:
Found 15 papers, 2 papers with code
Using Mixed Incentives to Document Xi’an Guanzhong
This paper describes our use of mixed incentives and the citizen science portal LanguageARC to prepare, collect and quality control a large corpus of object namings for the purpose of providing speech data to document the under-represented Guanzhong dialect of Chinese spoken in the Shaanxi province in the environs of Xi’an.
Data Augmentation for the Post-Stroke Speech Transcription (PSST) Challenge: Sometimes Less Is More
The result represents a relative error reduction of 14% over the baseline model trained without data augmentation.
Automatically Detecting Reduced-formed English Pronunciations by Using Deep Learning
Reduced form pronunciations are widely used by native English speakers, especially in casual conversations.
Data-Driven Adaptive Simultaneous Machine Translation
In simultaneous translation (SimulMT), the most widely used strategy is the wait-k policy thanks to its simplicity and effectiveness in balancing translation quality and latency.
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards
Standard CTC computes a loss by aggregating over all possible alignment paths, that map the entire sequence to the entire label (full alignment).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
The Role of Phonetic Units in Speech Emotion Recognition
Models of phonemes, broad phonetic classes, and syllables all significantly outperform the utterance model, demonstrating that phonetic units are helpful and should be incorporated in speech emotion recognition.
Decoupling recognition and transcription in Mandarin ASR
Much of the recent literature on automatic speech recognition (ASR) is taking an end-to-end approach.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Automatic recognition of suprasegmentals in speech
This study reports our efforts to improve automatic recognition of suprasegmentals by fine-tuning wav2vec 2. 0 with CTC, a method that has been successful in automatic speech recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
On Attention Redundancy: A Comprehensive Study
(What) We define and focus the study on redundancy matrices generated from pre-trained and fine-tuned BERT-base model for GLUE datasets.
Text2Video: Text-driven Talking-head Video Synthesis with Personalized Phoneme-Pose Dictionary
With the advance of deep learning technology, automatic video generation from audio or text has become an emerging and promising research topic.
Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training
Simultaneous speech-to-speech translation is widely useful but extremely challenging, since it needs to generate target-language speech concurrently with the source-language speech, with only a few seconds delay.
On the Role of Style in Parsing Speech with Neural Models
The differences in written text and conversational speech are substantial; previous parsers trained on treebanked text have given very poor results on spontaneous speech.
Sparseness-constrained Nonnegative Tensor Factorization for Detecting Topics at Different Time Scales
Further, we propose quantitative ways to measure the topic length and demonstrate the ability of S-NCPD (as well as its online variant) to discover short and long-lasting temporal topics in a controlled manner in semi-synthetic and real-world data including news headlines.
