<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Codecs on A.Asonitis</title><link>https://aadonis-ai.github.io/tags/codecs/</link><description>Recent content in Codecs on A.Asonitis</description><generator>Hugo -- 0.157.0</generator><language>en-us</language><lastBuildDate>Sun, 05 Oct 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://aadonis-ai.github.io/tags/codecs/index.xml" rel="self" type="application/rss+xml"/><item><title>X-Codec2</title><link>https://aadonis-ai.github.io/notebook/neural-audio-codecs/xcodec2/</link><pubDate>Sun, 05 Oct 2025 00:00:00 +0000</pubDate><guid>https://aadonis-ai.github.io/notebook/neural-audio-codecs/xcodec2/</guid><description>X-Codec2 setup and usage — single-codebook codec used by Llasa for TTS. Stable version is 1.3.0.</description></item><item><title>WavTokenizer</title><link>https://aadonis-ai.github.io/notebook/neural-audio-codecs/wavtokenizer/</link><pubDate>Sat, 04 Oct 2025 00:00:00 +0000</pubDate><guid>https://aadonis-ai.github.io/notebook/neural-audio-codecs/wavtokenizer/</guid><description>WavTokenizer setup — extreme compression (40–75 tok/sec, single codebook). Best for clean TTS; avoid for noisy/degraded speech.</description></item><item><title>SNAC — Multi-Scale Neural Audio Codec</title><link>https://aadonis-ai.github.io/notebook/neural-audio-codecs/snac/</link><pubDate>Fri, 03 Oct 2025 00:00:00 +0000</pubDate><guid>https://aadonis-ai.github.io/notebook/neural-audio-codecs/snac/</guid><description>SNAC setup and encode/decode wrapper — matches DAC quality at significantly lower token rate via multi-scale residual vector quantization.</description></item><item><title>DAC — Descript Audio Codec</title><link>https://aadonis-ai.github.io/notebook/neural-audio-codecs/dac/</link><pubDate>Thu, 02 Oct 2025 00:00:00 +0000</pubDate><guid>https://aadonis-ai.github.io/notebook/neural-audio-codecs/dac/</guid><description>DAC setup and a wrapper class for encoding/decoding audio as flattened token sequences — time-major and codebook-major layouts.</description></item><item><title>Codec Comparison &amp; Overview</title><link>https://aadonis-ai.github.io/notebook/neural-audio-codecs/codec-comparison/</link><pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate><guid>https://aadonis-ai.github.io/notebook/neural-audio-codecs/codec-comparison/</guid><description>Side-by-side comparison of DAC, SNAC, WavTokenizer, and X-Codec2 — token rates, codebook counts, and when to use each.</description></item></channel></rss>