クイックスタート
このガイドでは、Hume AIのすべての機能について説明します。
- はじめる — Create your account and grab an API key
- Octave TTSの使い方 — Prompt-driven text to speech that reads meaning, not just words
- 共感型音声インターフェース（EVI）の使い方 — Real time conversational agents that respond with human-like empathy
- 式測定APIの使い方 — Track 25+ emotions from vocal tone and facial expression
- 会話調の声の使い方 — Low-latency speech for agents that need to answer instantly
- TTS Creator Studioの使い方 — A project script editor for multi-character audio
- How to Use Empathic AI Models — Models that adapt tone based on detected human emotions
- カスタムボイスペルソナの使い方 — Clone or design a voice from a five-second recording
- マルチモーダル分析の使い方 — Read voice, face, and text signals together in one job
所要時間： 各作品につき5分
このガイドには以下の内容も含まれています。 プロのヒント | よくある間違い | トラブルシューティング | 価格 | 代替案
このガイドを信頼する理由
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 声 and emotion platform built on one idea.
Speech carries feeling, and most 文章 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.
Hume AI チュートリアル
This How to Use Hume AI tutorial walks through every feature, from signing up to running the API in production.
ヒュームAI
Give your product a 声 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を使い始める
Do this once and every feature below opens up.
約3分かかります。
Here is what the platform looked like on my first run:
それでは、各ステップを順を追って見ていきましょう。
ステップ1：アカウントを作成する
Go to the Hume AI website and click sign up.
Enter your email and set a password.
✓ チェックポイント: A confirmation email lands in your 受信トレイ.
ステップ2：ダッシュボードを探索する
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:
✓ チェックポイント: 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 パスワードマネージャー.
Hume AI’s API takes that key as a header on every request.
The web interface does not need it at all.
✅ 完了: Your account is live and you can use any feature below.
Hume AI Octave TTS の使い方
オクターブTTS lets you turn a plain script into speech that carries real emotion.
以下に、その使用方法をステップごとに説明します。
ステップ1：スクリプトを貼り付ける
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.
これは以下のようなものです。
✓ チェックポイント: 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 ピッチ and speed until the sound matches your scene.
✅ 結果: You have a finished audio file in your chosen voice.
💡 プロのヒント: 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.
Hume AI共感型音声インターフェース（EVI）の使い方
EVI lets you build a real time chat agent that hears how you feel.
以下に、その使用方法をステップごとに説明します。
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.
これは以下のようなものです。
✓ チェックポイント: 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.
✅ 結果: You have a working empathic agent you can test end to end.
💡 プロのヒント: Test EVI in a quiet room first. Background noise skews the emotional expression readings before you ever hear the reply.
Hume AI Expression Measurement API の使い方
その 表現測定API scores emotional expression across audio, video, and text.
以下に、その使用方法をステップごとに説明します。
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.
ステップ2：メディアファイルをアップロードする
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.
これは以下のようなものです。
✓ チェックポイント: Your job status flips from queued to completed.
ステップ3：出力結果を読む
Each result returns emotion labels with a score between zero and one.
Sort by score to find the strongest expressive behavior in the clip.
✅ 結果: You have structured emotion データ you can chart or store.
💡 プロのヒント: Facial expression scores need a clear picture of the face. Side angles and low light drop accuracy fast.
Hume AI会話音声の使い方
会話音声 gives an agent low-latency speech that sounds natural.
以下に、その使用方法をステップごとに説明します。
ステップ1：声を選ぶ
ブラウズ 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.
これは以下のようなものです。
✓ チェックポイント: 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.
✅ 結果: Your agent now speaks without an awkward pause.
💡 プロのヒント: Send short sentences. Long paragraphs delay the first chunk of audio and break the illusion of a real conversation.
Hume AI TTS Creator Studioの使い方
TTSクリエイタースタジオ lets you assign different voices to each line of a script.
以下に、その使用方法をステップごとに説明します。
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.
これは以下のようなものです。
✓ チェックポイント: Each line shows its assigned voice name beside it.
ステップ3：レンダリングとダウンロード
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.
✅ 結果: You have a full scene voiced by different characters.
💡 プロのヒント: 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.
以下に、その使用方法をステップごとに説明します。
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.
✓ チェックポイント: The same 質問 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.
✅ 結果: Your agent responds to feeling, not just keywords.
💡 プロのヒント: 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.
Hume AIカスタム音声ペルソナの使い方
カスタム音声ペルソナ clones a voice from a recording as short as five seconds.
以下に、その使用方法をステップごとに説明します。
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.
✓ チェックポイント: Your new persona appears in the saved voices list.
ステップ3：保存して再利用する
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.
✅ 結果: You have a reusable voice you can call from any feature.
💡 プロのヒント: Record the sample in the same emotional register you plan to use. A cheerful clone struggles to sound grave later.
Hume AIマルチモーダル分析の使い方
マルチモーダル解析 combines voice, face, and text signals in one pass.
以下に、その使用方法をステップごとに説明します。
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.
✓ チェックポイント: 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.
✅ 結果: You can see how someone looked and sounded at the same moment.
💡 プロのヒント: 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のプロ向けヒントとショートカット
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.
キーボードショートカット
| アクション | ショートカット |
|---|---|
| Generate current script | Ctrl + Enter |
| Play or pause last clip | スペースバー |
| Duplicate a script line | Ctrl + D |
| Undo a bad render | Ctrl + Z |
ほとんどの人が見逃す隠れた機能
- 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.
Hume AIでよくある間違いを避ける方法
Mistake #1: Writing emotion into the script
❌ 間違い: Typing (angrily) or (whispers) inside the text, which often gets read out loud.
✅ 右: Put the emotion in the voice prompt and keep the script to spoken words only.
Mistake #2: Treating emotion scores as a verdict
❌ 間違い: Flagging a customer as angry because one number crossed a line.
✅ 右: Read the scores as a signal across a whole call, then let a human decide.
Mistake #3: Cloning a voice you do not own
❌ 間違い: Pulling a clip off ユーチューブ and training a persona on someone else’s voice.
✅ 右: Get written consent, or design a voice from a description instead of a recording.
Hume AIのトラブルシューティング
Problem: The generated voice sounds flat
原因： You used a default voice with no voice prompt attached.
修理： 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.
修理： 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.
修理： Record a fresh sample in a quiet room and keep the level below clipping.
📌 注記： If none of these fix it, contact Hume AI support with your job ID.
Hume AIとは何ですか?
ヒュームAI 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.
- 共感型音声インターフェース（EVI）： A conversational layer that reads vocal cues and replies with matching warmth.
- 表現測定API： An API that identifies and tracks over 25 distinct emotions across media.
- 会話音声: 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.
- カスタム音声ペルソナ： 音声クローン that builds a usable persona from five seconds of audio.
- マルチモーダル分析： 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 Hume AIレビュー.
That snapshot covers the whole platform at a glance.
Hume AIの価格
Here is what Hume AI costs in 2026:
| プラン | 価格 | 最適な用途 |
|---|---|---|
| 無料 | $0 | 基本をテストする |
| スターター | $3 | Hobby projects |
| クリエイター | $14 | Regular video and audio work |
| プロ | $70 | フリーランサー shipping client work |
| 規模 | $200 | Small teams in production |
| 仕事 | $500 | High-volume API use |
| 企業 | 営業担当者へのお問い合わせ | Custom models and support |
無料トライアル: Yes, the free tier gives you 10,000 characters of text to speech per month.
返金保証: Not advertised, so test on the free tier before you pay.
💰 最もお得な価格: Creator at $14 — enough volume for weekly content without jumping to $70.
ヒュームAIと代替案
How does Hume AI compare against the rest of the voice market?
| 道具 | 最適な用途 | 価格 | 評価 |
|---|---|---|---|
| ヒュームAI | Emotional range and API depth | 月額3ドル | ⭐ 4.2 |
| イレブンラボ | Raw voice quality | 月額5ドル | ⭐ 4.7 |
| マーフ | Studio editing | 月額29ドル | ⭐ 4.5 |
| スピーチファイ | 文書を聞く | 月額11ドル | ⭐ 4.4 |
| 説明 | 文字起こしに基づく編集 | 月額24ドル | ⭐ 4.5 |
| プレイ.ht | 音声ライブラリのサイズ | 月額39ドル | ⭐ 4.3 |
| ロボ | Video and subtitles | 月額24ドル | ⭐ 4.2 |
おすすめ商品：
- 総合ベスト： Hume AI — nothing else pairs voice generation with emotion data.
- ベスト予算： TTSOpenAI — free for short clips and no signup.
- 初心者におすすめ： Speechify — you press play and it just reads.
- Best for film and games: 改変 — built for performance transfer.
🎯 Hume AI の代替案
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.
- 🎨 マーフ： Studio-style editor pairing voice, video, and music on one timeline.
- 💰 スピーチファイ： Reads articles and files aloud on any device, built for listening.
- 🔧 説明: Edit audio by editing the transcript, plus solid video tools.
- 🌟 イレブンラボ: The closest rival on raw voice quality and cloning range.
- ⚡ プレイ.ht: Big voice library with a clean API for developers.
- 🎯 ロヴォ： Genny studio covers script, voice, and subtitles together.
- 💼 リスト番号: Turns blog posts into ポッドキャスト episodes with hosting included.
- 🎤 ポッドキャスト: Browser recording studio with cleanup baked in.
- 🧠 ダプダブ: Talking avatars and dubbing across many languages.
- 🏢 ウェルサイドラボ: Enterprise narration with tight brand voice control.
- 🔥 リボイス: Emotion presets you pick from a dropdown instead of a prompt.
- 🔒 リードスピーカー: Accessibility-first reading for websites and education platforms.
- 👶 ナチュラルリーダー: Simple reader for students and anyone with a stack of PDFs.
- ⭐ 変更: Speech-to-speech performance transfer for film and games.
- 📊 スピーチロ: One-time payment voiceover tool for marketing videos.
全リストについては、こちらをご覧ください。 ヒュームAIの代替案 ガイド。
⚔️ ヒュームAI比較
Here is how Hume AI stacks up against each competitor:
- Hume AI vs TTSOpenAI: Hume AI wins on emotional range; TTSOpenAI wins on speed and zero setup.
- ヒュームAI vs マーフ: Murf has the better editor. Hume AI has the better acting.
- Hume AI vs Speechify: Speechify is for reading to you. Hume AI is for building products.
- ヒュームAI対記述: Descript edits your existing audio. Hume AI generates it from scratch.
- Hume AI vs 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 vs 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.
- ヒュームAI対ダブダブ: Dupdub leads on dubbing and avatars; Hume AI leads on empathy.
- Hume AI vs 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 vs 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.
- ヒュームAI対改変: 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.
今すぐHume AIを使い始めましょう
You now know how to use every major Hume AI feature:
- ✅ Octave TTS
- ✅ 共感型音声インターフェース（EVI）
- ✅ 表現測定API
- ✅ 会話音声
- ✅ TTS Creator Studio
- ✅ Empathic AI Models
- ✅ カスタム音声ペルソナ
- ✅ マルチモーダル解析
次のステップ： Pick one feature and try it today.
ほとんどの人はOctave TTSから始めます。
Honestly, one good voice prompt is all it takes to hear the difference.
よくある質問
Humeのテキスト読み上げ機能の使い方は？
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は何に使われていますか？
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の価格はいくらですか？
Plans run Free at $0, Starter at $3, Creator at $14, Pro at $70, Scale at $200, and 仕事 at $500. Enterprise pricing is contact sales.
Hume AIは安全ですか？
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はオープンソースですか？
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.
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