Speaker individuality information is among the most critical elements within speech signals.
By thoroughly and accurately modeling this information, it can be utilized in various …

In this paper, we introduce DiarizationLM, a framework to leverage large language models
(LLM) to post-process the outputs from a speaker diarization system. Various goals can be …

In this paper, we explore various frame rate reduction schemes on the two-pass cascaded
encoder model to improve its efficiency without scarifying the transcription quality. We …

Target speaker information can be utilized in speech enhancement (SE) models to more
effectively extract the desired speech. Previous works introduce the speaker embedding into …

Voice activity detection (VAD) improves the performance of speaker verification (SV) by
preserving speech segments and attenuating the effects of non-speech. However, this …

Recently, Feature-wise Linear Modulation (FiLM) has been shown to outperform other
approaches to incorporate speaker embedding into speech separation and VoiceFilter …

This paper discusses one of the most challenging practical engineering problems in speaker
recognition systems—the version control of models and user profiles. A typical speaker …

We present the design and implementation of EarVoice, a lightweight mobile service that
enables hands-free voice assistant activation on commodity earphones. EarVoice comprises …

Voice interfaces have become one of the most ubiquitous human-computer interaction
methods in recent years. Voice Activity Detection (VAD) is typically the first building block of …

Target-speaker speech processing (TS) tasks, such as target-speaker automatic speech
recognition (TS-ASR), target speech extraction (TSE), and personal voice activity detection …