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20192026
most citedSpeech Emotion Recognition using Self-Supervised Features

5 citations · 8 across the 8 of their papers we have counts for

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7 papers · 1 filter

eess.AS2026

Speaker Attributed Automatic Speech Recognition Using Speech Aware LLMS

Hagai Aronowitz, Zvi Kons, Avihu Dekel +2

Speaker-Attributed Automatic Speech Recognition (SAA) enhances traditional ASR systems by incorporating relative speaker identity tags directly into the transcript (e.g., [Speaker…

eess.AS2025

Spoken question answering for visual queries

Nimrod Shabtay, Zvi Kons, Avihu Dekel +3

Question answering (QA) systems are designed to answer natural language questions. Visual QA (VQA) and Spoken QA (SQA) systems extend the textual QA system to accept visual and spo…

eess.AS20251 cited

Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities

George Saon, Avihu Dekel, Alexander Brooks +21

Granite-speech LLMs are compact and efficient speech language models specifically designed for English ASR and automatic speech translation (AST). The models were trained by modali…

eess.AS2024

Speech Synthesis From Continuous Features Using Per-Token Latent Diffusion

Arnon Turetzky, Avihu Dekel, Nimrod Shabtay +5

We present SALAD, a zero-shot TTS autoregressive model operating over continuous speech representations. SALAD utilizes a per-token diffusion process to refine and predict continuo…

eess.AS2020

Siamese x-vector reconstruction for domain adapted speaker recognition

Shai Rozenberg, Hagai Aronowitz, Ron Hoory

With the rise of voice-activated applications, the need for speaker recognition is rapidly increasing. The x-vector, an embedding approach based on a deep neural network (DNN), is…

eess.AS20202 cited

Controllable Sequence-To-Sequence Neural TTS with LPCNET Backend for Real-time Speech Synthesis on CPU

Slava Shechtman, Carmel Rabinovitz, Alex Sorin +2

State-of-the-art sequence-to-sequence acoustic networks, that convert a phonetic sequence to a sequence of spectral features with no explicit prosody prediction, generate speech wi…