Alignments during Inference about forwardtacotron HOT 8 CLOSED

[2.2612348e-02 9.4400036e-01 6.7674098e+00 5.0057626e+00 5.0080757e+00
 4.6233215e+00 2.9760070e+00 2.3248816e+00 1.9487766e+00 3.7769635e+00
 4.6194615e+00 2.9589453e+00 5.8335261e+00 3.9601390e+00 4.8922276e+00
 3.4933169e+00 4.3110704e+00 3.4784627e+00 4.4144235e+00 3.7462690e+00
 3.7650070e+00 6.9434915e+00 6.1158099e+00 8.0207386e+00 4.3046041e+00
 4.8667979e+00 3.5990303e+00 5.2950010e+00 4.5506124e+00 4.6985164e+00
 3.9566250e+00 3.9664533e+00 5.8161201e+00 4.8916755e+00 2.1811330e+00
 5.6532249e+00 4.0426488e+00 2.8019662e+00 5.3324432e+00 5.3495054e+00
 2.2381749e+00 5.9258566e+00 3.4014165e+00 3.8372374e+00 4.1451240e+00
 5.8608556e+00 3.8050027e+00 4.6089807e+00 5.5579085e+00 4.4227767e+00
 4.1547208e+00 3.6267126e+00 5.6249385e+00 5.5808525e+00 3.0357168e+00
 4.4313054e+00 5.9691072e+00 5.0331984e+00 5.3593402e+00 4.9867053e+00
 3.2402251e+00 1.3627540e+00 2.2513001e+00 3.8786397e+00 4.6491919e+00
 3.3426161e+00 5.1169338e+00 6.7440410e+00 5.0903549e+00 3.9325664e+00
 3.1786590e+00 7.3065720e+00 6.7319651e+00 5.6631103e+00 3.7352045e+00
 3.5417433e+00 4.1710243e+00 4.9729519e+00 3.0776734e+00 3.7664495e+00
 4.0060887e+00 2.8614111e+00 3.7265482e+00 5.6844616e+00 5.0201597e+00
 1.9191515e+00 2.1967342e+00 4.0543704e+00 3.6931145e+00 4.0714145e+00
 5.0415058e+00 4.0292721e+00 3.3990631e+00 4.0123186e+00 3.6286800e+00
 3.1456099e+00 3.5747185e+00 4.1106396e+00 4.0564170e+00 4.4438252e+00
 5.8869915e+00 4.4292011e+00 6.1011786e+00 7.4916244e+00 6.2005177e+00
 3.5886323e+00 2.7478096e+00 3.5223446e+00 1.9621753e+00 3.6003213e+00
 3.8641853e+00 3.1578965e+00 3.6853700e+00 5.5982189e+00 4.8571954e+00
 2.8158152e+00 3.4190748e+00 2.6847386e+00 4.3211427e+00 2.9020162e+00
 3.8492827e+00 7.1659880e+00 6.5406370e+00 5.6910257e+00 4.5328012e+00
 5.2582273e+00 3.9277108e+00 4.6910095e+00 2.3240290e+00 4.4862123e+00
 3.7534225e+00 8.3864613e+00 7.8354692e+00 4.1877365e+00 8.0944567e+00
 7.5279021e+00 3.6475091e+00 3.7855072e+00 4.5493841e+00 3.5912817e+00
 3.2720089e+00 2.9245596e+00 2.7519238e+00 3.4271433e+00 3.6931608e+00
 3.2099092e+00 5.8654342e+00 5.5745549e+00 4.6561956e+00 3.4918787e+00
 2.6784046e+00 3.9213536e+00 4.4136915e+00 5.0109935e+00 3.7836897e+00
 3.4412189e+00 4.7609525e+00 2.6459830e+00 3.6646116e+00 3.5330944e+00
 2.6928513e+00 3.7275863e+00 4.9359412e+00 3.2233644e+00 3.5892196e+00
 2.1269495e+00 3.2069538e+00 5.3838339e+00 4.5727897e+00 3.7962928e+00
 3.8841012e+00 3.8840828e+00 4.4379663e+00 4.4393778e+00 3.9065814e+00
 2.8252225e+00 4.5640140e+00 2.2762156e+00 3.4408638e+00 5.4917574e+00
 4.8258510e+00 4.1536679e+00 3.8375087e+00 4.8880949e+00 2.1367426e+00
 1.8380073e+00 2.7101300e+00 4.7183986e+00 4.1725836e+00 3.7513199e+00
 3.6671889e+00 3.1984258e+00 5.9751067e+00 4.5713787e+00 5.4638953e+00
 3.4530182e+00 3.4203277e+00 3.3166778e+00 2.8922384e+00 4.1497169e+00
 4.8107204e+00 5.7362590e+00 2.8947024e+00 3.9340632e+00 5.9751110e+00
 5.0411377e+00 1.9212455e+00 2.3416703e+00 4.1463981e+00 4.0034518e+00
 4.8253579e+00 4.4901481e+00 5.1589351e+00 4.1915011e+00 2.9115534e+00
 3.3291063e+00 3.7888665e+00 4.7728491e+00 3.4904647e+00 3.9432387e+00
 7.3696356e+00 6.9134116e+00 6.0367808e+00 4.4357910e+00 5.4384804e+00
 2.8855910e+00 6.4224935e+00 4.1878357e+00 4.0874143e+00 4.2316189e+00
 3.6370394e+00 5.9071083e+00 5.3159356e+00 5.2228103e+00 6.1559463e+00
 5.7995853e+00 5.6163077e+00 5.2773423e+00 5.5773730e+00 7.1068287e+00
 3.8198769e+00 4.1103125e+00 6.0597706e+00 3.9329143e+00 3.1912720e+00
 5.0875068e+00 4.9033203e+00 4.8280387e+00 5.4035139e+00 3.6662331e+00
 4.0772071e+00 4.5702014e+00 4.6465340e+00 4.1961226e+00 6.0504155e+00
 3.8360379e+00 4.9358091e+00 4.1648808e+00 4.6339092e+00 2.9729676e+00
 4.7386842e+00 5.6018043e+00 4.3810005e+00 6.0938888e+00 7.3011327e+00
 6.1679420e+00 3.2874308e+00 3.4410133e+00 3.1851013e+00 3.7927074e+00
 5.4336090e+00 5.0340385e+00 2.8764882e+00 3.5582292e+00 3.8865030e+00
 3.0821476e+00 2.9812224e+00 4.0978575e+00 5.1852741e+00 5.3205285e+00
 4.1200075e+00 4.0693798e+00 5.4547844e+00 3.2341957e+00 5.0997691e+00
 6.1641455e+00 4.0800910e+00 4.8740706e+00 4.2244139e+00 4.9745173e+00
 4.5002141e+00 4.5753255e+00 3.7428198e+00 2.3115499e+00 2.7880044e+00
 4.1610107e+00 4.1307893e+00 4.7656217e+00 5.2930527e+00 3.4151716e+00
 5.7608094e+00 5.2816525e+00 7.6552243e+00 5.6390800e+00 3.8849237e+00
 3.4349124e+00 5.5267310e+00 5.7679639e+00 4.9572883e+00 3.7846608e+00
 0.0000000e+00 1.5842640e-01 1.6065538e-03 1.7802417e-04]

duration_hop = dur * 256
dur_sample = dur_hop /22050 #based on your sampling frequency
phone_timings = np.cumsum(dur_sample)