Xiaoyuzhou Asr

Transcribe 小宇宙 (Xiaoyuzhou) podcast episodes to text using local Qwen3-ASR speech recognition. Combines xyz API (小宇宙FM API) to fetch episode metadata and audio URLs with qwen3-asr-rs for local GPU-accelerated speech-to-text. Use when user wants to: (1) transcribe a 小宇宙 podcast episode, (2) download podcast audio from 小宇宙, (3) search and transcribe podcast content, (4) batch transcribe multiple episodes. Triggers: 小宇宙, podcast transcription, 播客转文字, ASR, speech recognition, episode transcript, 节目转录, qwen3-asr, 小宇宙转录.

Transcribe 小宇宙 podcast episodes to text using local Qwen3-ASR (Metal/CUDA accelerated).

Required service: this skill does not call 小宇宙 directly. It requires a compatible ultrazg/xyz API server to be installed and running. Default base URL is http://localhost:23020; override it with XYZ_BASE_URL. Without this service, login, search, episode lookup, and audio URL retrieval will not work.

Prerequisites

1. xyz API server running — fetches episode data and audio URLs from 小宇宙

   bash

   git clone https://github.com/ultrazg/xyz.git && cd xyz && go run .
   # Default port: 23020, change with -p
   

2. ffmpeg — audio format conversion (brew install ffmpeg)
3. Qwen3-ASR model — download (HF Hub does NOT ship tokenizer.json):

   bash

   python3 -c "
   from huggingface_hub import snapshot_download
   snapshot_download('Qwen/Qwen3-ASR-0.6B', local_dir='models/0.6B')
   "
   

4. qwen3-asr-rs — build from source:

   bash

   git clone https://github.com/alan890104/qwen3-asr-rs.git && cd qwen3-asr-rs
   cargo build --release --example local_transcribe
   

5. tokenizer.json — auto-generated by the transcription script on first run (from vocab.json + merges.txt). No manual step needed.

Quick Start

bash

# 1. Login (first time only, saves to ~/.xiaoyuzhou-asr.json)
python3 scripts/transcribe_podcast.py --login

# 2. Check all dependencies
python3 scripts/transcribe_podcast.py --check-env

# 3. Transcribe a single episode
python3 scripts/transcribe_podcast.py --keyword "早咖啡" -o output.md

# Or transcribe a shared episode URL
python3 scripts/transcribe_podcast.py --url "https://www.xiaoyuzhoufm.com/episode/EPISODE_ID" -o output.md

CLI Commands

Authentication

bash

# Interactive login — sends verification code to phone, saves tokens
python3 scripts/transcribe_podcast.py --login

Discovery

bash

# Search podcasts and show PID (for batch mode)
python3 scripts/transcribe_podcast.py --podcast-info --keyword "声动早咖啡"

# List recent episodes of a podcast
python3 scripts/transcribe_podcast.py --list-episodes --pid PODCAST_ID --count 10

Transcription

bash

# Single episode by keyword (picks first result)
python3 scripts/transcribe_podcast.py --keyword "关键词" -o output.md

# Single episode by EID
python3 scripts/transcribe_podcast.py --eid EPISODE_ID -o output.md

# Single episode by Xiaoyuzhou URL
python3 scripts/transcribe_podcast.py --url "https://www.xiaoyuzhoufm.com/episode/EPISODE_ID" -o output.md

# Batch: transcribe 5 latest episodes of a podcast
python3 scripts/transcribe_podcast.py --pid PODCAST_ID --count 5 -o ./transcripts/

# With specific format
python3 scripts/transcribe_podcast.py --eid EPISODE_ID --format srt -o output.srt

Diagnostics

bash

# Check all dependencies (ffmpeg, xyz API, token, ASR binary, model)
python3 scripts/transcribe_podcast.py --check-env

Output Formats

Format	Flag	Description
Markdown	--format markdown (default)	Metadata header + transcript
SRT	--format srt	Subtitles with estimated timestamps
Plain text	--format txt	Minimal header + transcript
JSON	--format json	Metadata + transcript as JSON

Batch Mode

• Transcribes the N most recent episodes of a podcast (--pid --count N)
• Saves each episode as a separate file in the output directory
• Checkpoint/resume: skips episodes that already exist in the output directory

Configuration

Settings are resolved in priority order: CLI argument > Environment variable > Config file.

Config File (~/.xiaoyuzhou-asr.json)

Auto-created by --login. Can also store paths:

json

{
  "token": "x-jike-access-token",
  "refresh_token": "x-jike-refresh-token",
  "model_dir": "/path/to/models/0.6B",
  "asr_bin": "/path/to/local_transcribe"
}

Environment Variables

Variable	Description	Default
XYZ_ACCESS_TOKEN	x-jike access token	— (required)
XYZ_REFRESH_TOKEN	Refresh token for auto-renewal	— (optional)
XYZ_BASE_URL	xyz API base URL	http://localhost:23020
XYZ_HTTP_TIMEOUT	xyz API request timeout in seconds	15
XYZ_DOWNLOAD_TIMEOUT	Audio download timeout in seconds	120
QWEN3_ASR_MODEL_DIR	Qwen3-ASR model directory	auto-detect
QWEN3_ASR_BIN	local_transcribe binary path	auto-detect

Token Management

• --login saves tokens to config file automatically
• If API returns 401, auto-refresh using refresh token
• Prompt user to login if no valid token

References

• xyz API endpoints and auth: references/xyz-api.md
• Qwen3-ASR usage and performance: references/qwen3-asr.md

Constraints

• MUST split audio into ≤3-minute segments for Metal GPU stability (auto-handled by script)
• Audio must be WAV 16kHz mono (auto-converted by script)
• tokenizer.json auto-generated on first run (from vocab.json + merges.txt)
• xyz API requires Chinese phone number (+86) login
• All processing is local — audio never leaves the machine
• Download retries up to 3 times on network failure

Script Reuse

This is a skill project, not a packaged Python library. Prefer the CLI above. Other scripts in this repository can still import scripts/transcribe_podcast.py directly:

python

from transcribe_podcast import (
    search_episodes, transcribe_episode, format_output,
    TranscriptionError, ApiError, TokenExpiredError,
)

try:
    episodes, _ = search_episodes(token, "早咖啡")
    episode, transcript, timings = transcribe_episode(token, eid, model_dir, asr_bin)
    output = format_output(episode, transcript)
except TranscriptionError as e:
    print(f"Error: {e}")