3 articles tagged with #automatic-speech-recognition. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Cohere AI has released Cohere Transcribe, a new state-of-the-art Automatic Speech Recognition (ASR) model designed for enterprise applications. This marks the company's expansion beyond text generation and embedding models into the speech recognition market, targeting enterprise speech intelligence solutions.
Researchers developed Whisper-LLaDA, a diffusion-based large language model for automatic speech recognition that achieves 12.3% relative improvement over baseline models. The study demonstrates that audio-conditioned embeddings are crucial for accuracy improvements, while plain-text processing without acoustic features fails to enhance performance.
Researchers developed Lipi-Ghor-882, an 882-hour Bengali speech dataset, and demonstrated that targeted fine-tuning with synthetic acoustic degradation significantly improves automatic speech recognition for long-form Bengali audio. Their dual pipeline achieved a 0.019 Real-Time Factor, establishing new benchmarks for low-resource speech processing.
