DNS-Challenge VS TTS

Compare DNS-Challenge vs TTS and see what are their differences.

DNS-Challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge. (by microsoft)
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DNS-Challenge TTS
2 231
973 29,420
1.8% 3.2%
4.4 9.4
about 1 month ago 6 days ago
Python Python
Creative Commons Attribution 4.0 Mozilla Public License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

DNS-Challenge

Posts with mentions or reviews of DNS-Challenge. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-05.

TTS

Posts with mentions or reviews of TTS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-28.

What are some alternatives?

When comparing DNS-Challenge and TTS you can also consider the following projects:

flashlight - A C++ standalone library for machine learning

tortoise-tts - A multi-voice TTS system trained with an emphasis on quality

DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

PaddleSpeech - Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

edgedict - Working online speech recognition based on RNN Transducer. ( Trained model release available in release )

piper - A fast, local neural text to speech system