Awwwards Class Sandbox
Listen. Speak.
Face the Machine.
Calibrate your vocal frequencies, control speaking pacing, and filter speech filler words with our real-time voice analyzer sandbox.
Next Level Assessment
Practice Now Duplex Voice-Activated AI Mock Interviews
Code sandbox is only half the battle. Practice duplex voice interviews with our AI interviewer model. Receive real-time assessment scores, detailed critiques on articulation, and tailor-made development checklists.
10 Modules Course Syllabus
Interactive Landing Sandboxes
Select a topic below to inspect the curriculum lessons and practice code playground templates.
audio module
Behavioral Audio Analyzer
Simulate live interview voice tone, pacing metrics, and filler word detection.
- Assess vocal pacing telemetry and isolate speech rate deviations.
- Detect filler words ('um', 'like', 'ah') to optimize speech structure.
- Calibrate tone frequencies for confident articulation vectors.
playgrounds/sandbox.ts
Active Playground// Speech Telemetry Parsing Engine
interface SpeechMetrics {
wordsPerMinute: number;
fillerWordCount: number;
confidenceScore: number;
}
function analyzeAudioStream(chunks: Float32Array[]): SpeechMetrics {
// Isolate pacing and pitch frequency variations
return {
wordsPerMinute: 135, // Optimal pacing range
fillerWordCount: 2,
confidenceScore: 92
};
}