Search Results for author: Jinxi Guo

Found 12 papers, 0 papers with code

Effective internal language model training and fusion for factorized transducer model

no code implementations2 Apr 2024 Jinxi Guo, Niko Moritz, Yingyi Ma, Frank Seide, Chunyang Wu, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer

However, even with the adoption of factorized transducer models, limited improvement has been observed compared to shallow fusion.

Language Modelling

Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model

no code implementations22 Sep 2023 Jiamin Xie, Ke Li, Jinxi Guo, Andros Tjandra, Yuan Shangguan, Leda Sari, Chunyang Wu, Junteng Jia, Jay Mahadeokar, Ozlem Kalinli

In this work, we propose the use of an adaptive masking approach in two scenarios for pruning a multilingual ASR model efficiently, each resulting in sparse monolingual models or a sparse multilingual model (named as Dynamic ASR Pathways).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Prompting Large Language Models with Speech Recognition Abilities

no code implementations21 Jul 2023 Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Ke Li, Jinxi Guo, Wenhan Xiong, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer

Furthermore, we perform ablation studies to investigate whether the LLM can be completely frozen during training to maintain its original capabilities, scaling up the audio encoder, and increasing the audio encoder striding to generate fewer embeddings.

Abstractive Text Summarization Automatic Speech Recognition +3

Improving Fast-slow Encoder based Transducer with Streaming Deliberation

no code implementations15 Dec 2022 Ke Li, Jay Mahadeokar, Jinxi Guo, Yangyang Shi, Gil Keren, Ozlem Kalinli, Michael L. Seltzer, Duc Le

Experiments on Librispeech and in-house data show relative WER reductions (WERRs) from 3% to 5% with a slight increase in model size and negligible extra token emission latency compared with fast-slow encoder based transducer.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Biased Self-supervised learning for ASR

no code implementations4 Nov 2022 Florian L. Kreyssig, Yangyang Shi, Jinxi Guo, Leda Sari, Abdelrahman Mohamed, Philip C. Woodland

Furthermore, this paper proposes a variant of MPPT that allows low-footprint streaming models to be trained effectively by computing the MPPT loss on masked and unmasked frames.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

VADOI:Voice-Activity-Detection Overlapping Inference For End-to-end Long-form Speech Recognition

no code implementations22 Feb 2022 Jinhan Wang, Xiaosu Tong, Jinxi Guo, Di He, Roland Maas

Results show that the proposed method can achieve a 20% relative computation cost reduction on Librispeech and Microsoft Speech Language Translation long-form corpus while maintaining the WER performance when comparing to the best performing overlapping inference algorithm.

Action Detection Activity Detection +3

Variable frame rate-based data augmentation to handle speaking-style variability for automatic speaker verification

no code implementations8 Aug 2020 Amber Afshan, Jinxi Guo, Soo Jin Park, Vijay Ravi, Alan McCree, Abeer Alwan

For instance, when enrolled with conversation utterances, the EER increased to 3. 03%, 2. 96% and 22. 12% when tested on read, narrative, and pet-directed speech, respectively.

Data Augmentation Speaker Verification

Efficient minimum word error rate training of RNN-Transducer for end-to-end speech recognition

no code implementations27 Jul 2020 Jinxi Guo, Gautam Tiwari, Jasha Droppo, Maarten Van Segbroeck, Che-Wei Huang, Andreas Stolcke, Roland Maas

Unlike previous work on this topic, which performs on-the-fly limited-size beam-search decoding and generates alignment scores for expected edit-distance computation, in our proposed method, we re-calculate and sum scores of all the possible alignments for each hypothesis in N-best lists.

speech-recognition Speech Recognition

Singing voice conversion with non-parallel data

no code implementations11 Mar 2019 Xin Chen, Wei Chu, Jinxi Guo, Ning Xu

F0 and aperiodic are obtained through the original singing voice, and used with acoustic features to reconstruct the target singing voice through a vocoder.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

A spelling correction model for end-to-end speech recognition

no code implementations19 Feb 2019 Jinxi Guo, Tara N. Sainath, Ron J. Weiss

Attention-based sequence-to-sequence models for speech recognition jointly train an acoustic model, language model (LM), and alignment mechanism using a single neural network and require only parallel audio-text pairs.

Language Modelling speech-recognition +2

Deep neural network based i-vector mapping for speaker verification using short utterances

no code implementations16 Oct 2018 Jinxi Guo, Ning Xu, Kailun Qian, Yang Shi, Kaiyuan Xu, Ying-Nian Wu, Abeer Alwan

Experimental results using the NIST SRE 2010 dataset show that both methods provide significant improvement and result in a max of 28. 43% relative improvement in Equal Error Rates from a baseline system, when using deep encoder with residual blocks and adding an additional phoneme vector.

Speaker Recognition Speaker Verification +1

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