快速入门

本指南涵盖了Hume AI的所有功能:
- 入门 — Create your account and grab an API key
- 如何使用 Octave TTS — Prompt-driven text to speech that reads meaning, not just words
- 如何使用同理心语音界面(EVI) — Real time conversational agents that respond with human-like empathy
- 如何使用表达式测量 API — Track 25+ emotions from vocal tone and facial expression
- 如何使用对话语调 — Low-latency speech for agents that need to answer instantly
- 如何使用 TTS Creator Studio — A project script editor for multi-character audio
- How to Use Empathic AI Models — Models that adapt tone based on detected human emotions
- 如何使用自定义语音角色 — Clone or design a voice from a five-second recording
- 如何使用多模态分析 — Read voice, face, and text signals together in one job
所需时间: 每部影片 5 分钟
本指南还包含以下内容: 专业提示 | 常见错误 | 故障排除 | 定价 | 替代方案
为什么信任本指南
I have used Hume AI for eight months across client work and side projects.
Every step below came from my own screen, not a press kit.

Hume AI is a 嗓音 and emotion platform built on one idea.
Speech carries feeling, and most 文本 to speech tools throw that feeling away.
This article shows you how to use Hume AI feature by feature.
Steps, screenshots, and the mistakes I made so you can skip them.
休谟人工智能教程
This How to Use Hume AI tutorial walks through every feature, from signing up to running the API in production.

休谟人工智能
Give your product a 嗓音 that actually sounds like it means something. Hume AI generates expressive speech from a written prompt and reads emotion back from voice, face, and text. The free tier includes 10,000 characters of text to speech every month.
Hume AI 入门
Do this once and every feature below opens up.
大约需要三分钟。
Here is what the platform looked like on my first run:

现在让我们一步一步来。
第一步:创建您的帐户
Go to the Hume AI website and click sign up.
Enter your email and set a password.
✓ 检查点: A confirmation email lands in your 收件箱.
步骤二:浏览仪表盘
Sign in and you land on the platform home screen.
Two paths sit in front of you: the web interface for clicking, and the API for code.
Here is what the main areas cover:

✓ 检查点: You can see TTS, EVI, and the docs in the sidebar.
Step 3: Copy Your API Key
Open the profile menu in the top right corner and choose API keys.
Generate a key and paste it straight into your 密码管理器.
Hume AI’s API takes that key as a header on every request.
The web interface does not need it at all.
✅ 完成: Your account is live and you can use any feature below.
如何使用 Hume AI Octave TTS
Octave TTS lets you turn a plain script into speech that carries real emotion.
以下是使用步骤详解。
步骤 1:粘贴您的脚本
Open the TTS page and paste your script into the text box.
Keep it under 200 words for your first test.
Step 2: Write a Voice Prompt
Describe the voice you want in one line.
Try “tired night-shift nurse, warm, slightly hoarse” instead of picking a default.
The cool thing is that Octave TTS reads the description and acts on it.
Putting the script and the voice prompt together takes about a minute.
这就是它的样子:

✓ 检查点: A waveform appears with a play button under your script.
Step 3: Generate and Adjust
Press generate, then play the clip and listen.
Do not worry if the first take sounds flat.
Nudge 沥青 and speed until the sound matches your scene.
✅ 结果: You have a finished audio file in your chosen voice.
💡 专业提示: Describe emotion in the voice prompt, not in the script. The model reads both, and stage directions inside the text sometimes get spoken out loud.
如何使用 Hume AI 同理心语音界面 (EVI)
EVI lets you build a real time chat agent that hears how you feel.
以下是使用步骤详解。
Step 1: Open the EVI Playground
Pick EVI from the platform sidebar and start a new session.
Connect your microphone when the browser asks.
Step 2: Set the System Prompt
Tell the agent who it is and how it should speak.
Pick a scenario, describe it in plain words, and let the agent play that part.
A support agent and a game character need very different instructions.
这就是它的样子:

✓ 检查点: The emotion meter moves while you talk.
Step 3: Talk and Watch the Meter
Speak a full sentence, then pause and let it answer.
The side panel shows which emotions it picked up from your voice.
✅ 结果: You have a working empathic agent you can test end to end.
💡 专业提示: Test EVI in a quiet room first. Background noise skews the emotional expression readings before you ever hear the reply.
如何使用 Hume AI 表情测量 API
这 表达式测量 API scores emotional expression across audio, video, and text.
以下是使用步骤详解。
Step 1: Grab Your API Key
Your API key sits in the profile menu in the top right corner of the screen.
Copy it once and store it somewhere safe.
步骤二:上传您的媒体文件
Send a batch job with your files, or stream them for real time analysis.
The Batch API handles recorded media, while the Streaming API handles live input.
One job can analyze audio, video, and text in the same process.
这就是它的样子:

✓ 检查点: Your job status flips from queued to completed.
步骤 3:读取输出
Each result returns emotion labels with a score between zero and one.
Sort by score to find the strongest expressive behavior in the clip.
✅ 结果: You have structured emotion 数据 you can chart or store.
💡 专业提示: Facial expression scores need a clear picture of the face. Side angles and low light drop accuracy fast.
如何使用 Hume AI 对话语音
对话语调 gives an agent low-latency speech that sounds natural.
以下是使用步骤详解。
第一步:选择一种声音
浏览 the voice library or load a voice you saved earlier.
Pick one that fits the character your agent is playing.
Step 2: Wire Up the Endpoint
Point your app at the speech endpoint and pass your API key.
Stream text in as it is generated instead of waiting for the full reply.
这就是它的样子:

✓ 检查点: Audio starts before the full sentence finishes generating.
Step 3: Measure the Delay
Time the gap between your last word and the first sound back.
Anything under a second feels like a normal conversation.
✅ 结果: Your agent now speaks without an awkward pause.
💡 专业提示: Send short sentences. Long paragraphs delay the first chunk of audio and break the illusion of a real conversation.
如何使用 Hume AI TTS Creator Studio
TTS Creator Studio lets you assign different voices to each line of a script.
以下是使用步骤详解。
Step 1: Start a Project
Create a new project and paste your full script.
Break it into one line per speaker.
Step 2: Assign a Voice Per Line
Click any line and pick the voice for that character.
Mixed casting is where this feature earns its keep.
这就是它的样子:

✓ 检查点: Each line shows its assigned voice name beside it.
步骤 3:渲染和下载
Render the whole project, then download the audio as one file or per line.
Per-line export is easier to edit in a video timeline later.
✅ 结果: You have a full scene voiced by different characters.
💡 专业提示: Render one line at a time while you cast. Rendering the full script on every change burns credits for nothing.
How to Use Hume AI Empathic AI Models
Empathic AI Models adapt replies based on the emotions behind the words.
以下是使用步骤详解。
Step 1: Pick a Base Model
Open the models page and read what each one is built for.
Start with the general model before you go narrow.
Step 2: Feed It Context
Pass conversation history along with the current turn.
Without history the model loses the emotional thread.
✓ 检查点: The same 问题 gets different answers depending on tone.
Step 3: Tune the Response Style
Set how strongly the reply should mirror the detected mood.
Support teams usually want warm; sales teams usually want steady.
✅ 结果: Your agent responds to feeling, not just keywords.
💡 专业提示: Log the detected mood next to every reply. When something reads wrong, that log tells you whether the model misread the user or misused the reading.
如何使用 Hume AI 自定义语音角色
自定义语音角色 clones a voice from a recording as short as five seconds.
以下是使用步骤详解。
Step 1: Record a Clean Sample
Record five to thirty seconds of clear speech.
If the recording is too loud the model hears clipping instead of tone.
Step 2: Upload and Name It
Upload the clip and give the persona a name you will recognise later.
Confirm you have permission to clone that person.
✓ 检查点: Your new persona appears in the saved voices list.
步骤 3:保存并重复使用
Save the persona so it shows up across every project on your account.
You can also create voices from a written description with no recording at all.
✅ 结果: You have a reusable voice you can call from any feature.
💡 专业提示: Record the sample in the same emotional register you plan to use. A cheerful clone struggles to sound grave later.
如何使用 Hume AI 多模态分析
多模态分析 combines voice, face, and text signals in one pass.
以下是使用步骤详解。
Step 1: Upload a Video
Send a video file that contains both a visible face and clear speech.
Thirty seconds is plenty for a first test.
Step 2: Select Your Models
Tick the vocal, facial, and language models you want to run.
The platform is capable of running all three at once, which shows where they disagree.
✓ 检查点: Three separate result sets return for the same clip.
Step 3: Compare the Tracks
Line up the three result tracks against the same timestamps.
Disagreement between face and voice is usually the interesting part.
✅ 结果: You can see how someone looked and sounded at the same moment.
💡 专业提示: A face saying one thing while the voice says another is not an error. Sarcasm, politeness, and nerves all look exactly like that.
Hume AI 专业技巧和快捷方式
After eight months of testing, these are the shortcuts I actually use.
Experiment on the free tier first, since new tools ship here often and the docs carry a working example for each one.
键盘快捷键
| 行动 | 捷径 |
|---|---|
| Generate current script | Ctrl + Enter |
| Play or pause last clip | 空格键 |
| Duplicate a script line | Ctrl + D |
| Undo a bad render | Ctrl + Z |
大多数人错过的隐藏功能
- Voice prompt stacking: Describe age, mood, and accent in one line and the model blends all three aspects.
- Five-second cloning: A short recording is enough to create a persona, so you do not need a studio session.
- Emotion overlays on video: Run a clip through Expression Measurement and the labels line up against the timeline.
休谟人工智能常见错误及避免方法
Mistake #1: Writing emotion into the script
❌ 错误: Typing (angrily) or (whispers) inside the text, which often gets read out loud.
✅ 右图: Put the emotion in the voice prompt and keep the script to spoken words only.
Mistake #2: Treating emotion scores as a verdict
❌ 错误: Flagging a customer as angry because one number crossed a line.
✅ 右图: Read the scores as a signal across a whole call, then let a human decide.
Mistake #3: Cloning a voice you do not own
❌ 错误: Pulling a clip off YouTube and training a persona on someone else’s voice.
✅ 右图: Get written consent, or design a voice from a description instead of a recording.
休谟人工智能故障排除
Problem: The generated voice sounds flat
原因: You used a default voice with no voice prompt attached.
使固定: Write one line describing the speaker, then generate again and compare the two takes.
Problem: Your API key returns 401
原因: The key was copied with a trailing space, or it belongs to a different project.
使固定: Regenerate the key, paste it fresh, and confirm the project matches your account.
Problem: The clone does not sound like the person
原因: The sample had music, room echo, or two people talking over each other.
使固定: Record a fresh sample in a quiet room and keep the level below clipping.
📌 笔记: If none of these fix it, contact Hume AI support with your job ID.
什么是休谟人工智能?
休谟人工智能 is an artificial intelligence platform for expressive speech and emotion measurement.
Think of it like a voice actor and a body-language reader working from the same brief.
Here is my full walkthrough of the platform:
The technology covers these key features:
- Octave TTS: A speech-language model that generates voices and personalities from a written prompt.
- 同理心语音界面(EVI): A conversational layer that reads vocal cues and replies with matching warmth.
- 表达式测量 API: An API that identifies and tracks over 25 distinct emotions across media.
- 对话语音: Speech-to-speech output built for agents that must reply without lag.
- TTS Creator Studio: A project script editor that assigns custom voices to dialogue lines.
- Empathic AI Models: Models that read emotional context and shift their replies to match.
- 自定义语音角色: 语音克隆 that builds a usable persona from five seconds of audio.
- 多模态分析: Combined analysis of vocal, facial, and written signals in a single job.
Hume was founded on research into how emotional intelligence shapes conversation.
That research is why the models read tone instead of only reading words.
The same ability helps people who have lost their voices to medical conditions.
For a deeper look, see our 休谟人工智能评论.

That snapshot covers the whole platform at a glance.
休谟人工智能定价
Here is what Hume AI costs in 2026:
| 计划 | 价格 | 最适合 |
|---|---|---|
| 自由的 | $0 | 测试基础知识 |
| 起动机 | $3 | Hobby projects |
| 创作者 | $14 | Regular video and audio work |
| 专业版 | $70 | 自由职业者 shipping client work |
| 规模 | $200 | Small teams in production |
| 商业 | $500 | High-volume API use |
| 企业 | 联系销售 | Custom models and support |
免费试用: Yes, the free tier gives you 10,000 characters of text to speech per month.
退款保证: Not advertised, so test on the free tier before you pay.

💰 性价比最高: Creator at $14 — enough volume for weekly content without jumping to $70.
休谟人工智能与替代方案
How does Hume AI compare against the rest of the voice market?
| 工具 | 最适合 | 价格 | 等级 |
|---|---|---|---|
| 休谟人工智能 | Emotional range and API depth | 每月 3 美元 | ⭐ 4.2 |
| ElevenLabs | Raw voice quality | 每月 5 美元 | ⭐ 4.7 |
| 默夫 | Studio editing | 每月 29 美元 | ⭐ 4.5 |
| Speechify | 听文件 | 每月11美元 | ⭐ 4.4 |
| 描述 | 基于转录的编辑 | 每月 24 美元 | ⭐ 4.5 |
| 播放.ht | 语音库大小 | 每月 39 美元 | ⭐ 4.3 |
| 洛沃 | Video and subtitles | 每月 24 美元 | ⭐ 4.2 |
快速精选:
- 综合最佳: Hume AI — nothing else pairs voice generation with emotion data.
- 最佳预算: TTSOpenAI — free for short clips and no signup.
- 最适合初学者: Speechify — you press play and it just reads.
- Best for film and games: 改变 — built for performance transfer.
🎯 Hume AI 替代方案
Looking for Hume AI alternatives? Here are the options worth a test:
- 🚀 TTSOpenAI: Fast browser text to speech with no account needed for short clips.
- 🎨 默夫: Studio-style editor pairing voice, video, and music on one timeline.
- 💰 Speechify: Reads articles and files aloud on any device, built for listening.
- 🔧 描述: Edit audio by editing the transcript, plus solid video tools.
- 🌟 ElevenLabs: The closest rival on raw voice quality and cloning range.
- ⚡ Play.ht: Big voice library with a clean API for developers.
- 🎯 洛沃: Genny studio covers script, voice, and subtitles together.
- 💼 列表编号: Turns blog posts into 播客 episodes with hosting included.
- 🎤 Podcastle: Browser recording studio with cleanup baked in.
- 🧠 杜普杜布: Talking avatars and dubbing across many languages.
- 🏢 WellSaid Labs: Enterprise narration with tight brand voice control.
- 🔥 重音器: Emotion presets you pick from a dropdown instead of a prompt.
- 🔒 ReadSpeaker: Accessibility-first reading for websites and education platforms.
- 👶 自然阅读器: Simple reader for students and anyone with a stack of PDFs.
- ⭐ 已修改: Speech-to-speech performance transfer for film and games.
- 📊 Speechelo: One-time payment voiceover tool for marketing videos.
完整列表请参见我们的 休谟人工智能替代方案 指导。
⚔️ Hume AI 对比
Here is how Hume AI stacks up against each competitor:
- Hume AI 对比 TTSOpenAI: Hume AI wins on emotional range; TTSOpenAI wins on speed and zero setup.
- 休谟人工智能 vs 默夫: Murf has the better editor. Hume AI has the better acting.
- Hume AI 对比 Speechify: Speechify is for reading to you. Hume AI is for building products.
- 休谟人工智能 vs 描述: Descript edits your existing audio. Hume AI generates it from scratch.
- Hume AI 对阵 ElevenLabs: ElevenLabs holds the voice-quality crown; Hume AI reads and returns emotion data.
- Hume AI vs Play.ht: Similar API depth, but only Hume AI measures emotional expression.
- Hume AI 对阵 Lovo: Lovo bundles subtitles and video. Hume AI goes deeper on tone.
- Hume AI vs Listnr: Listnr publishes podcasts. Hume AI powers real time agents.
- Hume AI vs Podcastle: Podcastle records people. Hume AI replaces the recording entirely.
- Hume AI vs Dupdub: Dupdub leads on dubbing and avatars; Hume AI leads on empathy.
- Hume AI 对阵 WellSaid Labs: WellSaid suits locked-down brand voices. Hume AI suits expressive characters.
- Hume AI vs Revoicer: Revoicer gives you preset emotions. Hume AI takes a written voice prompt.
- Hume AI 对比 ReadSpeaker: ReadSpeaker serves accessibility teams. Hume AI serves product and media teams.
- Hume AI vs NaturalReader: NaturalReader is cheaper for reading. Hume AI is stronger for creating.
- 休谟人工智能 vs 变异人工智能: Altered transfers your performance. Hume AI invents one from a description.
- Hume AI vs Speechelo: Speechelo is a one-time buy. Hume AI is a platform with an API.
立即开始使用 Hume AI
You now know how to use every major Hume AI feature:
- ✅ Octave TTS
- ✅ 同理心语音界面 (EVI)
- ✅ 表达式测量 API
- ✅ 对话语音
- ✅ TTS Creator Studio
- ✅ Empathic AI Models
- ✅ 自定义语音角色
- ✅ 多模态分析
下一步: Pick one feature and try it today.
大多数人都是从 Octave TTS 开始的。
Honestly, one good voice prompt is all it takes to hear the difference.
常见问题解答
如何使用 Hume 进行文本转语音?
Sign up, open the TTS page, paste your script, then write a short voice prompt describing the speaker. Press generate, play the clip, and download the audio.
Hume AI 的用途是什么?
It generates expressive speech and measures human emotions from voice, facial expression, and text. Teams use it for agents, game characters, call centres, and media.
Hume AI 的价格是多少?
Plans run Free at $0, Starter at $3, Creator at $14, Pro at $70, Scale at $200, and 商业 at $500. Enterprise pricing is contact sales.
Hume AI 安全吗?
It is a standard commercial API with documented terms. Only clone a voice you own or have written permission to use, since cloning needs just five seconds.
Hume AI是开源的吗?
No. The models are closed and accessed through the hosted platform or the API. Client libraries and sample code are public, but the weights are not.













