arXiv:2207.14418
공식 코드 · Papers with Code
Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 Challenge
원문 초록
This paper presents our efforts to build a robust ASR model for the shared task Automatic Speech Recognition for spontaneous and prepared speech & Speech Emotion Recognition in Portuguese (SE&R 2022). The goal of the challenge is to advance the ASR research for the Portuguese language, considering prepared and spontaneous speech in different dialects. Our method consist on fine-tuning an ASR model in a domain-specific approach, applying gain normalization and selective noise insertion. The proposed method improved over the strong baseline provided on the test set in 3 of the 4 tracks available
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BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech Recognition
CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia
Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech
Towards Temporally Explainable Dysarthric Speech Clarity Assessment
Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry
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