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Givt: Generative infinite-vocabulary transformers
Abstract We introduce Generative Infinite-Vocabulary Transformers (GIVT) which generate
vector sequences with real-valued entries, instead of discrete tokens from a finite …
vector sequences with real-valued entries, instead of discrete tokens from a finite …
Recent advances in speech language models: A survey
Large Language Models (LLMs) have recently garnered significant attention, primarily for
their capabilities in text-based interactions. However, natural human interaction often relies …
their capabilities in text-based interactions. However, natural human interaction often relies …
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
Building on the foundations of language modeling in natural language processing, Next
Token Prediction (NTP) has evolved into a versatile training objective for machine learning …
Token Prediction (NTP) has evolved into a versatile training objective for machine learning …
Wavchat: A survey of spoken dialogue models
Recent advancements in spoken dialogue models, exemplified by systems like GPT-4o,
have captured significant attention in the speech domain. Compared to traditional three-tier …
have captured significant attention in the speech domain. Compared to traditional three-tier …
VALL-T: Decoder-Only Generative Transducer for Robust and Decoding-Controllable Text-to-Speech
Recent TTS models with decoder-only Transformer architecture, such as SPEAR-TTS and
VALL-E, achieve impressive naturalness and demonstrate the ability for zero-shot …
VALL-E, achieve impressive naturalness and demonstrate the ability for zero-shot …
BAT: Learning to Reason about Spatial Sounds with Large Language Models
Spatial sound reasoning is a fundamental human skill, enabling us to navigate and interpret
our surroundings based on sound. In this paper we present BAT, which combines the spatial …
our surroundings based on sound. In this paper we present BAT, which combines the spatial …
Streaming decoder-only automatic speech recognition with discrete speech units: A pilot study
Unified speech-text models like SpeechGPT, VioLA, and AudioPaLM have shown
impressive performance across various speech-related tasks, especially in Automatic …
impressive performance across various speech-related tasks, especially in Automatic …
3D-Speaker-Toolkit: An Open Source Toolkit for Multi-modal Speaker Verification and Diarization
This paper introduces 3D-Speaker-Toolkit, an open source toolkit for multi-modal speaker
verification and diarization. It is designed for the needs of academic researchers and …
verification and diarization. It is designed for the needs of academic researchers and …
Task Arithmetic for Language Expansion in Speech Translation
Recent advances in large language models (LLMs) have gained interest in speech-text
multimodal foundation models, achieving strong performance on instruction-based speech …
multimodal foundation models, achieving strong performance on instruction-based speech …
Improving Audio Explanations using Audio Language Models
Foundation models are widely utilised for their strong representational capabilities, driven by
training on extensive datasets with self-supervised learning. The increasing complexity of …
training on extensive datasets with self-supervised learning. The increasing complexity of …