[PDF][PDF] Time-synchronous one-pass beam search for parallel online and offline transducers with dynamic block training
End-to-end automatic speech recognition (ASR) has become an increasingly popular area
of research, with two main models being online and offline ASR. Online models aim to …
of research, with two main models being online and offline ASR. Online models aim to …
Variable attention masking for configurable transformer transducer speech recognition
This work studies the use of attention masking in transformer transducer based speech
recognition for building a single configurable model for different deployment scenarios. We …
recognition for building a single configurable model for different deployment scenarios. We …
A CIF-based speech segmentation method for streaming E2E ASR
Long utterances segmentation is crucial in end-to-end (E2E) streaming automatic speech
recognition (ASR). However, commonly used voice activity detection (VAD)-based and fixed …
recognition (ASR). However, commonly used voice activity detection (VAD)-based and fixed …
E2e segmentation in a two-pass cascaded encoder asr model
We explore unifying a neural segmenter with two-pass cascaded encoder ASR into a single
model. A key challenge is allowing the segmenter (which runs in real-time, synchronously …
model. A key challenge is allowing the segmenter (which runs in real-time, synchronously …
Improving fast-slow encoder based transducer with streaming deliberation
This paper introduces a fast-slow encoder based transducer with streaming deliberation for
end-to-end automatic speech recognition. We aim to improve the recognition accuracy of the …
end-to-end automatic speech recognition. We aim to improve the recognition accuracy of the …
Flickering reduction with partial hypothesis reranking for streaming asr
Incremental speech recognizers start displaying results while the users are still speaking.
These partial results are beneficial to users who like the responsiveness of the system …
These partial results are beneficial to users who like the responsiveness of the system …
4D ASR: Joint Beam Search Integrating CTC, Attention, Transducer, and Mask Predict Decoders
End-to-end automatic speech recognition (E2E-ASR) can be classified into several network
architectures, such as connectionist temporal classification (CTC), recurrent neural network …
architectures, such as connectionist temporal classification (CTC), recurrent neural network …
Segment-Level Vectorized Beam Search Based on Partially Autoregressive Inference
Attention-based encoder-decoder models with autoregressive (AR) decoding have proven
to be the dominant approach for automatic speech recognition (ASR) due to their superior …
to be the dominant approach for automatic speech recognition (ASR) due to their superior …
Joint Optimization of Streaming and Non-Streaming Automatic Speech Recognition with Multi-Decoder and Knowledge Distillation
End-to-end (E2E) automatic speech recognition (ASR) can operate in two modes: streaming
and non-streaming, each with its pros and cons. Streaming ASR processes the speech …
and non-streaming, each with its pros and cons. Streaming ASR processes the speech …
Conversation-oriented asr with multi-look-ahead cbs architecture
During conversations, humans are capable of inferring the intention of the speaker at any
point of the speech to prepare the following action promptly. Such ability is also the key for …
point of the speech to prepare the following action promptly. Such ability is also the key for …