31 citations · 55 across the 36 of their papers we have counts for
9 papers · 1 filter
Phoneme-aware Encoding for Prefix-tree-based Contextual ASR
Hayato Futami, Emiru Tsunoo, Yosuke Kashiwagi +3
In speech recognition applications, it is important to recognize context-specific rare words, such as proper nouns. Tree-constrained Pointer Generator (TCPGen) has shown promise fo…
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions
Siddhant Arora, Hayato Futami, Jee-weon Jung +6
Recent studies leverage large language models with multi-tasking capabilities, using natural language prompts to guide the model's behavior and surpassing performance of task-speci…
Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation
Emiru Tsunoo, Hayato Futami, Yosuke Kashiwagi +2
Collecting audio-text pairs is expensive; however, it is much easier to access text-only data. Unless using shallow fusion, end-to-end automatic speech recognition (ASR) models req…
Integration of Frame- and Label-synchronous Beam Search for Streaming Encoder-decoder Speech Recognition
Emiru Tsunoo, Hayato Futami, Yosuke Kashiwagi +2
Although frame-based models, such as CTC and transducers, have an affinity for streaming automatic speech recognition, their decoding uses no future knowledge, which could lead to…
Integrating Pretrained ASR and LM to Perform Sequence Generation for Spoken Language Understanding
Siddhant Arora, Hayato Futami, Yosuke Kashiwagi +3
There has been an increased interest in the integration of pretrained speech recognition (ASR) and language models (LM) into the SLU framework. However, prior methods often struggl…
Tensor decomposition for minimization of E2E SLU model toward on-device processing
Yosuke Kashiwagi, Siddhant Arora, Hayato Futami +6
Spoken Language Understanding (SLU) is a critical speech recognition application and is often deployed on edge devices. Consequently, on-device processing plays a significant role…