How-To Geek on MSN

4 awesome (and practical) things you can do with a terminal on Android

Termux will drop you into the Windows PowerShell terminal on your phone, where you can remotely manage files, run automation ...
IEEE

Collaborative Transformer Prototype Network with Pretrained Contrastive Language-Audio Encoder for Open Set Audio Recognition

Abstract: Transformer models have achieved remarkable success in audio recognition, with the Swin Transformer standing out due to its ability to capture long-range dependencies in audio signals.
GitHub

Efficient audio understanding with general audio captions

Outperforms Qwen2.5-Omni-7B, Kimi-Audio-Instruct-7B on multiple key audio understanding tasks. Although MiDashengLM demonstrates superior audio understanding performance and efficiency compared to ...
GitHub

V6 Audio Collection Pipeline

v6_script/ ├── locale_config.py # 77-locale registry with metadata ├── query_generator.py # LLM-powered query generation ├── llm_helpers_qwen.py # L2 scoring, quality assessment ├── CELL_1_INSTALL.py ...
IEEE

Bootstrapping Language-Audio Pre-training for Music Captioning

Abstract: We introduce BLAP, a model capable of generating high-quality captions for music. BLAP leverages a fine-tuned CLAP audio encoder and a pre-trained Flan-T5 large language model. To achieve ...
marktechpost

Google Introduces Speech-to-Retrieval (S2R) Approach that Maps a Spoken Query Directly to an Embedding and Retrieves Information without First Converting Speech to Text

In the traditional cascade modeling approach, automatic speech recognition (ASR) first produces a single text string, which is then passed to retrieval. Small transcription errors can change query ...