Adobe Enhance Speech vs DPDFNet

Adobe Enhance Speech is a web tool for reducing noise and echo in voice recordings and dialogue from audio or video. It filters noise and artifacts, adjusts pitch and volume, and normalizes audio; downloads retain the imported file’s format. It accepts WAV, MP3, M4A, AAC, and FLAC audio, plus MP4, MOV, and M4V video, with uploads up to 1 GB. The free plan is audio-only, processes one file at a time, and has no strength adjustment. Each file is limited to 30 minutes and 500 MB, with one hour of enhancement per day. Firefly Pro adds video support, bulk uploads, strength controls, and up to four hours of daily enhancement for $19.99 a month, billed monthly; files can be up to two hours and 1 GB. Adobe says results depend on speaker audibility and background noise, and clearer pronunciation can produce better output. The tool is optimized for desktop and mobile browsers, including Chrome, Safari, Edge, and Firefox. It is language agnostic and does not generate or translate across languages.

DPDFNet is a free, open-source model for reducing noise in single-channel speech from recordings, live streams, and edge-device applications. It supports offline processing and streaming, and extends DeepFilterNet2 with dual-path encoder blocks and an always-on fine-tuning approach intended to reduce over-attenuation. Pretrained variants support 8, 16, and 48 kHz audio. The repository includes PyTorch code and ONNX and TFLite inference models, with command-line, Python, and stateful streaming interfaces. Streaming buffers about 20 ms before the first enhanced output, then adds about 10 ms of delay for later blocks. A hosted Gradio demo and audio examples are linked from the project page. Listed community integrations include sherpa-onnx, OBS Studio, VST3 and LADSPA plugins, Core ML ports, and WebAssembly. The project page reports real-time DPDFNet-4 deployment on Ceva-NeuPro-Nano edge NPUs in a benchmark setup using int8 weights and int16 activations. The software is under Apache License 2.0. Model files are not bundled in the source repository; it provides commands to download checkpoints and ONNX or TFLite models from Hugging Face.