Design & media

Iflytek Speed Transcription

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Ultra-fast speech transcription using iFLYTEK Speed Transcription API. Transcribe audio files (WAV/PCM/MP3) up to 5 hours in ~20 seconds per hour. Supports C...

What it does

Ultra-fast speech transcription using iFLYTEK Speed Transcription API. Transcribe audio files (WAV/PCM/MP3) up to 5 hours in ~20 seconds per hour. Supports Chinese, English, and 202+ Chinese dialects with automatic language detection. Use when user asks to transcribe audio files, convert speech to text, or mentions "speed transcription" or "极速转写".

The skill document

iFly Speed Transcription

Ultra-fast speech transcription service that converts audio files to text in record time - 1 hour of audio transcribes in ~20 seconds.

Quick Start

# Basic transcription (auto-detect language and dialect)
python3 scripts/transcribe.py /path/to/audio.mp3

# Save to file
python3 scripts/transcribe.py /path/to/audio.wav --output result.txt

# With domain-specific optimization
python3 scripts/transcribe.py /path/to/audio.mp3 --pd medical

# With speaker separation
python3 scripts/transcribe.py /path/to/meeting.mp3 --vspp-on 1 --speaker-num 2

Setup

1. API Credentials

Get credentials from iFlytek Open Platform:

  • APP_ID: Application ID
  • API_KEY: API key for authentication
  • API_SECRET: API secret for signing requests

2. Environment Variables

export XFEI_APP_ID="your_app_id"
export XFEI_API_KEY="your_api_key"
export XFEI_API_SECRET="your_api_secret"

API Parameters

Required Parameters

ParameterDescription
file_pathPath to audio file (MP3, 16kHz, 16-bit, mono)
--languageLanguage code (default: zh_cn for Chinese+English+202 dialects)
--accentAccent (default: mandarin)

Optional Parameters

ParameterTypeDescription
--pdstringDomain: court, finance, medical, tech, sport, edu, gov, game, ecom, car
--vspp-onintSpeaker separation: 0=off, 1=on
--speaker-numintNumber of speakers (0=auto, range 1-10)
--output-typeintOutput: 0=1best, 1=cnlbest, 2=multi-candidate
--postproc-onintPost-processing: 0=off, 1=on (default)
--enable-subtitleintSubtitle mode: 0=document, 1=subtitle
--smoothprocboolSmoothing: true=on, false=off (default: true)
--colloqprocboolColloquial processing: true=on, false=off
--language-typeintLanguage mode: 1=auto, 2=Chinese, 3=English, 4=Chinese-only
--dhwstringHot words (comma-separated, UTF-8)

Audio Requirements

  • Format: MP3
  • Sample rate: 16kHz
  • Bit depth: 16-bit
  • Channels: Mono (single channel)
  • Size: ≤ 500MB
  • Duration: ≤ 5 hours (recommended: ≥ 5 minutes)

Workflow

1. Upload Audio File

Files < 30MB use direct upload. Files ≥ 30MB use multipart upload (5MB chunks).

2. Create Transcription Task

Submit uploaded file URL with transcription parameters.

3. Poll for Results

Query task status periodically until completion.

Response Format

{
  "task_id": "1568100557463963551003",
  "task_status": "4",
  "text": "Transcribed text content...",
  "segments": [
    {
      "speaker": "spk-0",
      "begin": "0",
      "end": "470",
      "text": "听说。"
    }
  ]
}

Task Status

  • 1: Pending
  • 2: Processing
  • 3: Completed
  • 4: Callback completed
  • -1: Failed

Language Support

autodialect (language=zh_cn)

Automatic recognition of Chinese, English, and 202 Chinese dialects including:

  • Major: Mandarin, Cantonese, Taiwanese, Sichuanese, Shanghainese, Northeastern
  • Full list: 合肥话、芜湖话、皖北话、粤语、北京话、福州话、闽南语、潮汕话、客家话、贵阳话、海口话、石家庄话、太原话、郑州话、东北话、武汉话、长沙话、南京话、南昌话、大连话、呼和浩特话、银川话、西宁话、济南话、西安话、上海话、四川话、台湾话、天津话、乌鲁木齐话、云南话、杭州话、重庆话 (202 total)

Common Use Cases

  1. Meeting Transcription: Convert meeting recordings to text with speaker separation
  2. Interview Recording: Transcribe interviews for documentation
  3. Lecture Recording: Convert academic lectures to searchable text
  4. Voice Notes: Transform voice memos into text notes
  5. Call Center: Analyze customer service calls
  6. Legal Proceedings: Transcribe court hearings with domain optimization
  7. Medical Consultation: Doctor-patient conversation documentation

Error Handling

Error CodeDescription友好提示
10107自定音频编码字段错误请检查 encoding 的传值是否规范~ (◎_◎)
10303参数值传递不规范请检查传参值是否有误哦~ (°∀°)ノ
10043音频解码失败请检查所传的音频是否与 encoding 字段描述的编码格式对应呢~
20304静音音频、音频格式与传参不匹配检查音频是否为16k、16bit单声道音频哦~ (。•́︿•̀。)

💡 遇到问题?

常见问题 FAQ

Q: 录音文件转写极速版的主要功能是什么? A: 快速地将长段音频(5小时以内)数据转换成文本数据呢~ (๑•̀ㅂ•́)و✧

Q: 录音文件转写极速版支持什么语言? A: 支持中文、英文 + 202种方言免切识别哦! ヽ(✿゚▽゚)ノ

Q: 录音文件转写极速版支持什么应用平台? A: 目前支持 WebAPI 应用平台啦~

Q: 为什么只支持 MP3 格式呀? A: 因为 MP3 格式兼容性好、文件小、传输快呢~ 使用 lame 编码就能轻松接入啦! (◕‿◕)

Tips

  1. For speaker separation: Use --vspp-on 1 for better speaker diarization
  2. For specific domains: Use --pd parameter for improved accuracy
  3. For faster processing: Audio files ≥ 5 minutes are prioritized
  4. For subtitle output: Use --enable-subtitle 1 for subtitle-formatted output
  5. For hot words: Use --dhw="word1,word2" to boost recognition accuracy

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