audeering
音声分析 · 10.3K 月間訪問数
audeeringは、高度な音声分析を通じて機械が人間の感情や表現を理解できるようにする、最先端の音声AI技術プラットフォームです。7,000以上の音響パラメータを検出することで、自動車、ヘルスケア、ロボティクス、市場調査、ゲームなどの分野のアプリケーションに深い洞察を提供し、共感的な人間と機械の対話の新時代を切り開きます。
VS
LiveKit
リアルタイム通信 · 539.6K 月間訪問数
LiveKitは、リアルタイムの音声およびビデオAIエージェントを構築、展開、スケーリングするためのオールインワンのオープンソースプラットフォームです。超低遅延のインフラ、強力なAPI、最先端のAIツールを提供し、開発者がエンタープライズレベルの信頼性とスケーラビリティを備えた対話型AI、ロボティクス、ライブストリーミングアプリケーションを作成できるようにします。
製品概要
audeering 製品概要
audeeringは、高度な音声分析を通じて機械が人間の感情や表現を理解できるようにする、最先端の音声AI技術プラットフォームです。7,000以上の音響パラメータを検出することで、自動車、ヘルスケア、ロボティクス、市場調査、ゲームなどの分野のアプリケーションに深い洞察を提供し、共感的な人間と機械の対話の新時代を切り開きます。
Preview
LiveKit 製品概要
LiveKitは、リアルタイムの音声およびビデオAIエージェントを構築、展開、スケーリングするためのオールインワンのオープンソースプラットフォームです。超低遅延のインフラ、強力なAPI、最先端のAIツールを提供し、開発者がエンタープライズレベルの信頼性とスケーラビリティを備えた対話型AI、ロボティクス、ライブストリーミングアプリケーションを作成できるようにします。
Preview
Detailed feature comparison
| Feature | audeering | LiveKit |
|---|---|---|
| 主要カテゴリー | 音声分析 | リアルタイム通信 |
| 追加日 | 2025-08-05 | 2025-08-08 |
| 価格 | 有料 | フリーミアム |
| 公式サイト | www.audeering.com | livekit.io |
| 製品タイプ | ウェブサイト | ウェブサイト |
| Performance data | ||
| ユーザー評価 | 未確認 | 未確認 |
| コメント | 0 | 0 |
| 月間訪問数 | 10.3K | 539.6K |
| 月間成長率 | -11.4% | 12.2% |
| お気に入り | 126 | 142 |
| Details | 詳細を見る | 詳細を見る |
audeering vs LiveKit monthly traffic
Compare audeering and LiveKit by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the audeering vs LiveKit monthly traffic comparison, audeering currently shows 10.3K visits and LiveKit shows 539.6K; LiveKit has about 52.1 times the visible traffic of audeering, an absolute difference of about 529.3K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
audeering monthly traffic:
Latest traffic
月間訪問数
10.3K
平均滞在時間
0:22
訪問あたりページ数
2.47
直帰率
39.59%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 10.7K 月間訪問数
- 2026/1: 9.8K 月間訪問数
- 2026/2: 8.1K 月間訪問数
- 2026/3: 12.5K 月間訪問数
- 2026/4: 11.7K 月間訪問数
- 2026/5: 10.3K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 46.88% | 4.9K |
| 🇩🇪Germany | 18.51% | 1.9K |
| 🇮🇳India | 14.79% | 1.5K |
| 🇬🇧United Kingdom | 10.64% | 1.1K |
| 🇳🇱Netherlands | 9.18% | 950 |
検索キーワード
ai audio generatoraudbaudeeringopensmilevoice ai
LiveKit monthly traffic:
Latest traffic
月間訪問数
539.6K
平均滞在時間
6:24
訪問あたりページ数
6.19
直帰率
34.24%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 513.3K 月間訪問数
- 2026/1: 633.8K 月間訪問数
- 2026/2: 547.1K 月間訪問数
- 2026/3: 539K 月間訪問数
- 2026/4: 480.9K 月間訪問数
- 2026/5: 539.6K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 50.89% | 274.6K |
| 🇮🇳India | 33.23% | 179.3K |
| 🇩🇪Germany | 8.11% | 43.8K |
| 🇺🇦Ukraine | 3.95% | 21.3K |
| 🇰🇪Kenya | 3.82% | 20.6K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 85.82% | 463.1K |
| 参照元 | 12.08% | 65.2K |
| Eメール | 2.1% | 11.3K |
検索キーワード
livekitlivekit cloudlivekit docslivekit mcplivekit playground
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate LiveKit first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Usage comparison
Compare the core capabilities of audeering and LiveKit
audeering Core features
APIとSDK
音声分析
開発
診断
LiveKit Core features
APIとSDK
リアルタイム通信
音声エージェント
Use cases
audeering Use cases
API
ロボット工学
SDK
自動車AI
感情認識
共感AI
ゲーム開発
医療AI
音声AI
音声バイオマーカー
音声分析
LiveKit Use cases
API
ロボット工学
SDK
対話型AI
開発者ツール
ライブストリーミング
オープンソース
リアルタイム
テレフォニー
音声AI
WebRTC
audeering vs LiveKit：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth audeering vs LiveKit comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. audeering is primarily listed under “音声分析”, while LiveKit is primarily listed under “リアルタイム通信”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (audeering: 音声分析; LiveKit: リアルタイム通信); Pricing (audeering: Paid; LiveKit: Freemium); Monthly visits (audeering: 10.3K; LiveKit: 539.6K); Monthly growth (audeering: -11.4%; LiveKit: 12.2%); Favorites (audeering: 126; LiveKit: 142). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the audeering vs LiveKit monthly traffic comparison, audeering currently shows 10.3K visits and LiveKit shows 539.6K; LiveKit has about 52.1 times the visible traffic of audeering, an absolute difference of about 529.3K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate LiveKit first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
audeering and LiveKit currently overlap in shared categories: APIとSDK; shared tags: API、ロボット工学、SDK. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
audeering's unique categories/tags are 音声分析、開発、診断、自動車AI、感情認識、共感AI、ゲーム開発、医療AI; LiveKit's are リアルタイム通信、音声エージェント、対話型AI、開発者ツール、ライブストリーミング、オープンソース、リアルタイム、テレフォニー. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
audeering has no verified rating, 0 comments, 126 favorites, and 144 likes；LiveKit has no verified rating, 0 comments, 142 favorites, and 148 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate audeering first
Put audeering on the priority trial list when the task aligns with “音声分析” and especially 音声分析、開発、診断、自動車AI、感情認識、共感AI. This follows recorded positioning and does not imply unlisted capabilities are absent.
audeering also currently records: pricing is paid, product type is website, 10.3K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate LiveKit first
Put LiveKit on the priority trial list when the task aligns with “リアルタイム通信” and especially リアルタイム通信、音声エージェント、対話型AI、開発者ツール、ライブストリーミング、オープンソース. This follows recorded positioning and does not imply unlisted capabilities are absent.
LiveKit also currently records: pricing is freemium, product type is website, 539.6K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in audeering and LiveKit, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
比較 FAQ
How should I choose between audeering and LiveKit?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.