The article presents a study on the use of Byte Pair Encoding (BPE) for automatic Bengali speech recognition. BPE emerges as an effective tokenization method for tackling the out-of-vocabulary (OOV)…
Continue readingThe article presents an improved version of SURT (Streaming Unmixing and Recognition Transducer) for speaker-attributed transcription in multi-talker speech recognition. The authors propose methods for both short mixtures and long…
Continue readingThe paper introduces TDFNet, a model for audio-visual speech separation. This technology is significant for applications like speech recognition and assistive technologies. While existing methods demand more computational resources and…
Continue readingThis research paper explores the use of connectionist techniques in phonetic speech recognition with strong latency constraints. The study’s aim is to enhance telephone conversation for hearing-impaired people by creating…
Continue readingThis paper discusses a technique to enhance the accuracy of Automatic Speech Recognition (ASR) systems. The proposed method uses embeddings derived from utterance audio to query a correction database, which…
Continue readingThis research paper focuses on creating a more efficient end-to-end speech recognition model. The researchers propose a dynamic layer-skipping method that uses the CTC blank output from intermediate layers to…
Continue readingThe article introduces a model named TransFace, designed to translate audio-visual speech directly into other languages, overcoming the challenges of delay and cascading errors associated with current methods. The model…
Continue readingThe article presents Distil-Whisper, a distilled variant of the Whisper model for speech recognition. To address the challenges of running large models in low-latency or resource-constrained environments, the researchers used…
Continue readingThe article presents DistilWhisper, a method aimed at improving the performance of the Whisper speech model, particularly in under-represented languages. Whisper is a multilingual and multitask speech model that covers…
Continue readingThe article presents a novel approach to real-time spoken language transcription and translation using a streaming Transformer-Transducer (T-T) model. The T-T model can jointly produce many-to-one and one-to-many transcription and…
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